---
title: "ACM Computing Surveys 2021 — papers — Elamur Research"
description: "ACM Computing Surveys 2021 — papers: 2 papers in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-computing-surveys/2021/"
---
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# ACM Computing Surveys 2021 — papers

The works of ACM Computing Surveys published in 2021 that our library holds (publisher: Association for Computing Machinery): 2 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**221** works that year](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2021/#works) · [**6,948** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2021/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[A Survey on Bias and Fairness in Machine Learning](https://md.research.elamur.ai/free/en/papers/mehrabi-2019-survey-bias-fairness-machine-learning/)**Ninareh Mehrabi, Fred Morstatter, Nripsuta Ani Saxena et al.*5,442 citations · our summary*
2. **[Deep Learning for Anomaly Detection ↗](https://doi.org/10.1145/3439950)**Guansong Pang, Chunhua Shen, Longbing Cao et al.*2,799 citations*
3. **[Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/)**Aidan Hogan, Eva Blomqvist, Michael Cochez et al.*1,904 citations · our summary*
4. **[Deep Learning — based Text Classification ↗](https://doi.org/10.1145/3439726)**Shervin Minaee, Nal Kalchbrenner, Erik Cambria et al.*1,538 citations*
5. **[A Survey of Deep Active Learning ↗](https://doi.org/10.1145/3472291)**Pengzhen Ren, Yun Xiao, Xiaojun Chang et al.*1,124 citations*
6. **[A Review on Outlier/Anomaly Detection in Time Series Data ↗](https://doi.org/10.1145/3444690)**Ane Blázquez-García, Ángel Conde, Usue Mori et al.*1,085 citations*
7. **[k-Nearest Neighbour Classifiers - A Tutorial ↗](https://doi.org/10.1145/3459665)**Pádraig Cunningham, Sarah Jane Delany*942 citations*
8. **[The Creation and Detection of Deepfakes ↗](https://doi.org/10.1145/3425780)**Yisroel Mirsky, Wenke Lee*795 citations*
9. **[A Survey on Blockchain Interoperability: Past, Present, and Future Trends ↗](https://doi.org/10.1145/3471140)**Rafael Belchior, André Vasconcelos, Sérgio Luís Proença Duarte Guerreiro et al.*757 citations*
10. **[Generative Adversarial Networks (GANs) ↗](https://doi.org/10.1145/3446374)**Divya Saxena, Jiannong Cao*689 citations*

## All works of the year (221)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. **[A Survey on Bias and Fairness in Machine Learning](https://md.research.elamur.ai/free/en/papers/mehrabi-2019-survey-bias-fairness-machine-learning/)**Ninareh Mehrabi, Fred Morstatter, Nripsuta Ani Saxena et al.*5,442 citations · our summary*
2. **[Deep Learning for Anomaly Detection ↗](https://doi.org/10.1145/3439950)**Guansong Pang, Chunhua Shen, Longbing Cao et al.*2,799 citations*
3. **[Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/)**Aidan Hogan, Eva Blomqvist, Michael Cochez et al.*1,904 citations · our summary*
4. **[Deep Learning — based Text Classification ↗](https://doi.org/10.1145/3439726)**Shervin Minaee, Nal Kalchbrenner, Erik Cambria et al.*1,538 citations*
5. **[A Survey of Deep Active Learning ↗](https://doi.org/10.1145/3472291)**Pengzhen Ren, Yun Xiao, Xiaojun Chang et al.*1,124 citations*
6. **[A Review on Outlier/Anomaly Detection in Time Series Data ↗](https://doi.org/10.1145/3444690)**Ane Blázquez-García, Ángel Conde, Usue Mori et al.*1,085 citations*
7. **[k-Nearest Neighbour Classifiers - A Tutorial ↗](https://doi.org/10.1145/3459665)**Pádraig Cunningham, Sarah Jane Delany*942 citations*
8. **[The Creation and Detection of Deepfakes ↗](https://doi.org/10.1145/3425780)**Yisroel Mirsky, Wenke Lee*795 citations*
9. **[A Survey on Blockchain Interoperability: Past, Present, and Future Trends ↗](https://doi.org/10.1145/3471140)**Rafael Belchior, André Vasconcelos, Sérgio Luís Proença Duarte Guerreiro et al.*757 citations*
10. **[Generative Adversarial Networks (GANs) ↗](https://doi.org/10.1145/3446374)**Divya Saxena, Jiannong Cao*689 citations*
11. **[A Comprehensive Survey of Privacy-preserving Federated Learning ↗](https://doi.org/10.1145/3460427)**Xuefei Yin, Yanming Zhu, Jiankun Hu*631 citations*
12. **[Reinforcement Learning in Healthcare: A Survey ↗](https://doi.org/10.1145/3477600)**Chao Yu, Jiming Liu, Shamim Nemati et al.*628 citations*
13. **[A Comprehensive Survey of Neural Architecture Search ↗](https://doi.org/10.1145/3447582)**Pengzhen Ren, Yun Xiao, Xiaojun Chang et al.*590 citations*
14. **[A Survey on Session-based Recommender Systems ↗](https://doi.org/10.1145/3465401)**Shoujin Wang, Longbing Cao, Yan Wang et al.*570 citations*
15. **[Principal Component Analysis ↗](https://doi.org/10.1145/3447755)**Felipe Lucas Gewers, Gustavo R. Ferreira, Henrique Ferraz de Arruda et al.*508 citations*
16. **[Deep Learning for Sensor-based Human Activity Recognition ↗](https://doi.org/10.1145/3447744)**Kaixuan Chen, Dalin Zhang, Lina Yao et al.*491 citations*
17. **[Hierarchical Reinforcement Learning ↗](https://doi.org/10.1145/3453160)**Shubham Pateria, Budhitama Subagdja, Ah‐Hwee Tan et al.*461 citations*
18. **[When Machine Learning Meets Privacy ↗](https://doi.org/10.1145/3436755)**Bo Liu, Ming Ding, Sina Shaham et al.*450 citations*
19. **[A Survey on Conversational Recommender Systems ↗](https://doi.org/10.1145/3453154)**Dietmar Jannach, Ahtsham Manzoor, Wanling Cai et al.*430 citations*
20. **[Machine Learning at the Network Edge: A Survey ↗](https://doi.org/10.1145/3469029)**M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou et al.*402 citations*
21. **[Evolutionary Large-Scale Multi-Objective Optimization: A Survey ↗](https://doi.org/10.1145/3470971)**Ye Tian, Langchun Si, Xingyi Zhang et al.*401 citations*
22. **[Deep Learning for Medical Anomaly Detection – A Survey ↗](https://doi.org/10.1145/3464423)**Tharindu Fernando, Harshala Gammulle, Simon Denman et al.*399 citations*
23. **[Generative Adversarial Networks ↗](https://doi.org/10.1145/3459992)**Zhipeng Cai, Zuobin Xiong, Honghui Xu et al.*377 citations*
24. **[A Survey on Generative Adversarial Networks: Variants, Applications, and Training ↗](https://doi.org/10.1145/3463475)**Abdul Jabbar, Xi Li, Bourahla Omar*360 citations*
25. **[A Survey on Automated Log Analysis for Reliability Engineering ↗](https://doi.org/10.1145/3460345)**Shilin He, Pinjia He, Zhuangbin Chen et al.*329 citations*

[See all 221 papers in ACM Computing Surveys 2021 — papers →](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2021/papers/)

## Works with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. **[Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.*2021 · 5,396 citations*
2. **[Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,552 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/)

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Graham Neubig**1 work here · 5,396 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Hiroaki Hayashi**1 work here · 5,396 citations](https://md.research.elamur.ai/free/en/authors/hiroaki-hayashi/) · [🧑‍🔬**Jinlan Fu**1 work here · 5,396 citations](https://md.research.elamur.ai/free/en/authors/jinlan-fu/) · [🧑‍🔬**Pengfei Liu**1 work here · 5,396 citations](https://md.research.elamur.ai/free/en/authors/pengfei-liu/) · [🧑‍🔬**Weizhe Yuan**1 work here · 5,396 citations](https://md.research.elamur.ai/free/en/authors/weizhe-yuan/) · [🧑‍🔬**Zhengbao Jiang**1 work here · 5,396 citations](https://md.research.elamur.ai/free/en/authors/zhengbao-jiang/) · [🧑‍🔬**Amir Pouran Ben Veyseh**1 work here · 1,552 citations](https://md.research.elamur.ai/free/en/authors/amir-pouran-ben-veyseh/) · [🧑‍🔬**Bonan Min**1 work here · 1,552 citations](https://md.research.elamur.ai/free/en/authors/bonan-min/) · [🧑‍🔬**Dan Roth**1 work here · 1,552 citations](https://md.research.elamur.ai/free/en/authors/dan-roth/) · [🧑‍🔬**Elior Sulem**1 work here · 1,552 citations](https://md.research.elamur.ai/free/en/authors/elior-sulem/) · [🧑‍🔬**Eneko Agirre**1 work here · 1,552 citations](https://md.research.elamur.ai/free/en/authors/eneko-agirre/) · [🧑‍🔬**Oscar Sainz**1 work here · 1,552 citations](https://md.research.elamur.ai/free/en/authors/oscar-sainz/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Amazon** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Harvard University** Cambridge · United States 1 work here](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**National University of Singapore** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**University of the Basque Country** Leioa · Spain 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-the-basque-country/) · [🎓**University of Oregon** Eugene · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-oregon/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Pennsylvania** Philadelphia · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/)

works and citations from OpenAlex and our library.

- [← previous ACM Computing Surveys 2020](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2020/)
- [next → ACM Computing Surveys 2022](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2022/)
- [↑ back to ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)