---
title: "IEEE Transactions on Neural Networks and Learning Systems"
description: "IEEE Transactions on Neural Networks and Learning Systems 2023 — papers: 1 paper in the Elamur Research library, with our summaries…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2023/"
---
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# IEEE Transactions on Neural Networks and Learning Systems 2023 — papers

The works of IEEE Transactions on Neural Networks and Learning Systems published in 2023 that our library holds (publisher: Institute of Electrical and Electronics Engineers): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**988** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2023/#works) · [**49** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2023/#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 of Visual Transformers ↗](https://doi.org/10.1109/tnnls.2022.3227717)**Yang Liu, Yao Zhang, Yixin Wang et al.*549 citations*
2. **[A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems ↗](https://doi.org/10.1109/tnnls.2023.3250269)**Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini*361 citations*
3. **[Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives ↗](https://doi.org/10.1109/tnnls.2023.3290974)**Hongtian Chen, Hao Luo, Biao Huang et al.*219 citations*
4. **[Joint Entity and Relation Extraction With Set Prediction Networks ↗](https://doi.org/10.1109/tnnls.2023.3264735)**Dianbo Sui, Xiangrong Zeng, Yubo Chen et al.*214 citations*
5. **[An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition ↗](https://doi.org/10.1109/tnnls.2022.3232147)**Jiusi Zhang, Ke Zhang, Yiyao An et al.*212 citations*
6. **[LGGNet: Learning From Local-Global-Graph Representations for Brain–Computer Interface ↗](https://doi.org/10.1109/tnnls.2023.3236635)**Yi Ding, Neethu Robinson, Chengxuan Tong et al.*211 citations*
7. **[Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning ↗](https://doi.org/10.1109/tnnls.2023.3261460)**Si-Guo Fang, Dong Huang, Xiao-Sha Cai et al.*207 citations*
8. **[Domain Adaptation via Prompt Learning ↗](https://doi.org/10.1109/tnnls.2023.3327962)**Chunjiang Ge, Rui Huang, Mixue Xie et al.*199 citations*
9. **[AAformer: Auto-Aligned Transformer for Person Re-Identification ↗](https://doi.org/10.1109/tnnls.2023.3301856)**Kuan Zhu, Haiyun Guo, Shiliang Steven Zhang et al.*193 citations*
10. **[Simple Contrastive Graph Clustering ↗](https://doi.org/10.1109/tnnls.2023.3271871)**Yue Liu, Xihong Yang, Sihang Zhou et al.*191 citations*

## All works of the year (988)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[A Survey of Visual Transformers ↗](https://doi.org/10.1109/tnnls.2022.3227717)**Yang Liu, Yao Zhang, Yixin Wang et al.*549 citations*
2. **[A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems ↗](https://doi.org/10.1109/tnnls.2023.3250269)**Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini*361 citations*
3. **[Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives ↗](https://doi.org/10.1109/tnnls.2023.3290974)**Hongtian Chen, Hao Luo, Biao Huang et al.*219 citations*
4. **[Joint Entity and Relation Extraction With Set Prediction Networks ↗](https://doi.org/10.1109/tnnls.2023.3264735)**Dianbo Sui, Xiangrong Zeng, Yubo Chen et al.*214 citations*
5. **[An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition ↗](https://doi.org/10.1109/tnnls.2022.3232147)**Jiusi Zhang, Ke Zhang, Yiyao An et al.*212 citations*
6. **[LGGNet: Learning From Local-Global-Graph Representations for Brain–Computer Interface ↗](https://doi.org/10.1109/tnnls.2023.3236635)**Yi Ding, Neethu Robinson, Chengxuan Tong et al.*211 citations*
7. **[Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning ↗](https://doi.org/10.1109/tnnls.2023.3261460)**Si-Guo Fang, Dong Huang, Xiao-Sha Cai et al.*207 citations*
8. **[Domain Adaptation via Prompt Learning ↗](https://doi.org/10.1109/tnnls.2023.3327962)**Chunjiang Ge, Rui Huang, Mixue Xie et al.*199 citations*
9. **[AAformer: Auto-Aligned Transformer for Person Re-Identification ↗](https://doi.org/10.1109/tnnls.2023.3301856)**Kuan Zhu, Haiyun Guo, Shiliang Steven Zhang et al.*193 citations*
10. **[Simple Contrastive Graph Clustering ↗](https://doi.org/10.1109/tnnls.2023.3271871)**Yue Liu, Xihong Yang, Sihang Zhou et al.*191 citations*
11. **[Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain ↗](https://doi.org/10.1109/tnnls.2023.3236361)**Jianye Hao, Tianpei Yang, Hongyao Tang et al.*189 citations*
12. **[Hyperspectral Image Denoising: From Model-Driven, Data-Driven, to Model-Data-Driven ↗](https://doi.org/10.1109/tnnls.2023.3278866)**Qiang Zhang, Yaming Zheng, Qiangqiang Yuan et al.*189 citations*
13. **[Flexible Job Shop Scheduling via Dual Attention Network-Based Reinforcement Learning ↗](https://doi.org/10.1109/tnnls.2023.3306421)**Runqing Wang, Gang Wang, Jian Qiao Sun et al.*183 citations*
14. **[Fast Yet Effective Machine Unlearning ↗](https://doi.org/10.1109/tnnls.2023.3266233)**Ayush K Tarun, Vikram S Chundawat, Murari Mandal et al.*182 citations*
15. **[Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications ↗](https://doi.org/10.1109/tnnls.2023.3283523)**Sai Munikoti, Deepesh Agarwal, Laya Das et al.*176 citations*
16. **[Towards Fairness-Aware Federated Learning ↗](https://doi.org/10.1109/tnnls.2023.3263594)**Yuxin Shi, Han Yu, Cyril Leung*154 citations*
17. **[Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems ↗](https://doi.org/10.1109/tnnls.2023.3310585)**Taniya Kapoor, Hongrui Wang, Alfredo A. Núñez et al.*148 citations*
18. **[Projective Incomplete Multi-View Clustering ↗](https://doi.org/10.1109/tnnls.2023.3242473)**Shijie Deng, Jie Wen, Chengliang Liu et al.*147 citations*
19. **[CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition ↗](https://doi.org/10.1109/tnnls.2023.3344294)**Zhiwen Xiao, Huagang Tong, Rong Qu et al.*146 citations*
20. **[Active Learning for Deep Visual Tracking ↗](https://doi.org/10.1109/tnnls.2023.3266837)**Di Yuan, Xiaojun Chang, Qiao Liu et al.*144 citations*
21. **[Information Recovery-Driven Deep Incomplete Multiview Clustering Network ↗](https://doi.org/10.1109/tnnls.2023.3286918)**Chengliang Liu, Jie Wen, Zhihao Wu et al.*142 citations*
22. **[LRAF-Net: Long-Range Attention Fusion Network for Visible–Infrared Object Detection ↗](https://doi.org/10.1109/tnnls.2023.3266452)**Haolong Fu, Wang Shixun, Puhong Duan et al.*142 citations*
23. **[Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects ↗](https://doi.org/10.1109/tnnls.2023.3291371)**Lei Ren, Zidi Jia, Yuanjun Laili et al.*141 citations*
24. **[Few-Shot Object Detection: A Comprehensive Survey ↗](https://doi.org/10.1109/tnnls.2023.3265051)**Mona Köhler, Markus Eisenbach, Horst–Michael Groß*141 citations*
25. **[A Fast Granular-Ball-Based Density Peaks Clustering Algorithm for Large-Scale Data ↗](https://doi.org/10.1109/tnnls.2023.3300916)**Dongdong Cheng, Ya Li, Shuyin Xia et al.*138 citations*

[See all 988 papers in IEEE Transactions on Neural Networks and Learning Systems 2023 — papers →](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2023/papers/)

## Works with our summary in our library (1)

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

1. **[Deep Model Fusion: A Survey](https://md.research.elamur.ai/free/en/papers/li-2023-deep-model-fusion-survey/) [IEEE Transactions on Neural Networks and Learning Systems](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/)**Weishi Li, Yong Peng, Miao Zhang, et al.*2023 · 49 citations*

## Fields

[Computer Science (1)](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.

[🧑‍🔬**Han Hu**1 work here · 49 citations](https://md.research.elamur.ai/free/en/authors/han-hu/) · [🧑‍🔬**Li Shen**1 work here · 49 citations](https://md.research.elamur.ai/free/en/authors/li-shen/) · [🧑‍🔬**Liang Ding**1 work here · 49 citations](https://md.research.elamur.ai/free/en/authors/liang-ding/) · [🧑‍🔬**Miao Zhang**1 work here · 49 citations](https://md.research.elamur.ai/free/en/authors/miao-zhang/) · [🧑‍🔬**Weishi Li**1 work here · 49 citations](https://md.research.elamur.ai/free/en/authors/weishi-li/)

## Top institutions

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

[🎓**Beijing Institute of Technology** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**Sun Yat-sen University** Guangzhou · China 1 work here](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**National University of Defense Technology** Changsha · China 1 work here](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🏢**Jingdong** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/companies/jingdong/)

works and citations from OpenAlex and our library.

- [← previous IEEE Transactions on Neural Networks and Learning Systems 2019](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2019/)
- [↑ back to IEEE Transactions on Neural Networks and Learning Systems](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/)