---
title: "IEEE Transactions on Neural Networks and Learning Systems"
description: "IEEE Transactions on Neural Networks and Learning Systems 2019 — 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/2019/"
---
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# IEEE Transactions on Neural Networks and Learning Systems 2019 — papers

The works of IEEE Transactions on Neural Networks and Learning Systems published in 2019 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.

[**458** 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/2019/#works) · [**10,312** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2019/#works)

## Most cited papers

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

1. **[Object Detection With Deep Learning: A Review ↗](https://doi.org/10.1109/tnnls.2018.2876865)**Zhong‐Qiu Zhao, Peng Zheng, Shou-Tao Xu et al.*5,487 citations*
2. **[Adversarial Examples: Attacks and Defenses for Deep Learning ↗](https://doi.org/10.1109/tnnls.2018.2886017)**Xiaoyong Yuan, Pan Li He, Qile Zhu et al.*1,725 citations*
3. **[Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data ↗](https://doi.org/10.1109/tnnls.2019.2944481)**Felix Sattler, Simon Wiedemann, Klaus‐Robert Müller et al.*1,678 citations*
4. **[Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation ↗](https://doi.org/10.1109/tnnls.2019.2953131)**Yang Chen, Xiaoyan Sun, Yaochu Jin*573 citations*
5. **[Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network ↗](https://doi.org/10.1109/tnnls.2019.2892409)**Fangzhou Liao, Ming Xuan Liang, Zhe Li et al.*491 citations*
6. **[EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation ↗](https://doi.org/10.1109/tnnls.2018.2886414)**Zhongke Gao, Xinmin Wang, Yuxuan Yang et al.*482 citations*
7. **[Lightweight Pyramid Networks for Image Deraining ↗](https://doi.org/10.1109/tnnls.2019.2926481)**Xueyang Fu, Borong Liang, Yue Huang et al.*421 citations*
8. **[Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution ↗](https://doi.org/10.1109/tnnls.2018.2885616)**Renwei Dian, Shutao Li, Leyuan Fang*410 citations*
9. **[Unsupervised Anomaly Detection With LSTM Neural Networks ↗](https://doi.org/10.1109/tnnls.2019.2935975)**Tolga Ergen, Süleyman S. Kozat*386 citations*
10. **[Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems ↗](https://doi.org/10.1109/tnnls.2019.2955438)**Yongming Li, Tingting Yang, Shaocheng Tong*381 citations*

## All works of the year (458)

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

1. **[Object Detection With Deep Learning: A Review ↗](https://doi.org/10.1109/tnnls.2018.2876865)**Zhong‐Qiu Zhao, Peng Zheng, Shou-Tao Xu et al.*5,487 citations*
2. **[Adversarial Examples: Attacks and Defenses for Deep Learning ↗](https://doi.org/10.1109/tnnls.2018.2886017)**Xiaoyong Yuan, Pan Li He, Qile Zhu et al.*1,725 citations*
3. **[Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data ↗](https://doi.org/10.1109/tnnls.2019.2944481)**Felix Sattler, Simon Wiedemann, Klaus‐Robert Müller et al.*1,678 citations*
4. **[Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation ↗](https://doi.org/10.1109/tnnls.2019.2953131)**Yang Chen, Xiaoyan Sun, Yaochu Jin*573 citations*
5. **[Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network ↗](https://doi.org/10.1109/tnnls.2019.2892409)**Fangzhou Liao, Ming Xuan Liang, Zhe Li et al.*491 citations*
6. **[EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation ↗](https://doi.org/10.1109/tnnls.2018.2886414)**Zhongke Gao, Xinmin Wang, Yuxuan Yang et al.*482 citations*
7. **[Lightweight Pyramid Networks for Image Deraining ↗](https://doi.org/10.1109/tnnls.2019.2926481)**Xueyang Fu, Borong Liang, Yue Huang et al.*421 citations*
8. **[Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution ↗](https://doi.org/10.1109/tnnls.2018.2885616)**Renwei Dian, Shutao Li, Leyuan Fang*410 citations*
9. **[Unsupervised Anomaly Detection With LSTM Neural Networks ↗](https://doi.org/10.1109/tnnls.2019.2935975)**Tolga Ergen, Süleyman S. Kozat*386 citations*
10. **[Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems ↗](https://doi.org/10.1109/tnnls.2019.2955438)**Yongming Li, Tingting Yang, Shaocheng Tong*381 citations*
11. **[A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition ↗](https://doi.org/10.1109/tnnls.2019.2927224)**Kaixuan Chen, Lina Yao, Dalin Zhang et al.*367 citations*
12. **[Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition ↗](https://doi.org/10.1109/tnnls.2019.2908982)**Jun Yu, Chaoyang Zhu, Jian Zhang et al.*352 citations*
13. **[Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks ↗](https://doi.org/10.1109/tnnls.2019.2946869)**Oyeon Kwon, Min-Ho Lee, Cuntai Guan et al.*347 citations*
14. **[Completely Automated CNN Architecture Design Based on Blocks ↗](https://doi.org/10.1109/tnnls.2019.2919608)**Yanan Sun, Bing Xue, Mengjie Zhang et al.*338 citations*
15. **[Neural Network-Based Adaptive Antiswing Control of an Underactuated Ship-Mounted Crane With Roll Motions and Input Dead Zones ↗](https://doi.org/10.1109/tnnls.2019.2910580)**Tong Yang, Ning Sun, He Chen et al.*337 citations*
16. **[Consensus Tracking Control of Switched Stochastic Nonlinear Multiagent Systems via Event-Triggered Strategy ↗](https://doi.org/10.1109/tnnls.2019.2917137)**Wencheng Zou, Peng Jia Shi, Zhengrong Xiang et al.*332 citations*
17. **[Finite-Time Consensus of Second-Order Switched Nonlinear Multi-Agent Systems ↗](https://doi.org/10.1109/tnnls.2019.2920880)**Wencheng Zou, Peng Jia Shi, Zhengrong Xiang et al.*320 citations*
18. **[Teacher–Student Curriculum Learning ↗](https://doi.org/10.1109/tnnls.2019.2934906)**Tambet Matiisen, Avital Oliver, Taco Cohen et al.*320 citations*
19. **[Neuromemristive Circuits for Edge Computing: A Review ↗](https://doi.org/10.1109/tnnls.2019.2899262)**Olga Krestinskaya, Alex Pappachen James, Leon Ong Chua*319 citations*
20. **[Multi-Objective Evolutionary Federated Learning ↗](https://doi.org/10.1109/tnnls.2019.2919699)**Hangyu Zhu, Yaochu Jin*301 citations*
21. **[Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons ↗](https://doi.org/10.1109/tnnls.2019.2899936)**Shuangming Yang, Bin Deng, Jiang Wang et al.*297 citations*
22. **[Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure ↗](https://doi.org/10.1109/tnnls.2019.2919676)**Yundi Chu, Juntao Fei, Shixi Hou*290 citations*
23. **[diffGrad: An Optimization Method for Convolutional Neural Networks ↗](https://doi.org/10.1109/tnnls.2019.2955777)**Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy et al.*270 citations*
24. **[State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks ↗](https://doi.org/10.1109/tnnls.2019.2946290)**Bo Shen, Zidong Wang, Dong Wang et al.*267 citations*
25. **[Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment ↗](https://doi.org/10.1109/tnnls.2019.2927869)**Haoran Li, Qichao Zhang, Dongbin Zhao*261 citations*

[See all 458 papers in IEEE Transactions on Neural Networks and Learning Systems 2019 — papers →](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2019/papers/)

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

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

1. **[A Comprehensive Survey on Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/wu-2019-comprehensive-survey-graph-neural-networks/) [IEEE Transactions on Neural Networks and Learning Systems](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/)**Zonghan Wu, Shirui Pan, Fengwen Chen, et al.*2019 · 10,312 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.

[🧑‍🔬**Chengqi Zhang**1 work here · 10,312 citations](https://md.research.elamur.ai/free/en/authors/chengqi-zhang/) · [🧑‍🔬**Guodong Long**1 work here · 10,312 citations](https://md.research.elamur.ai/free/en/authors/guodong-long/) · [🧑‍🔬**Philip S. Yu**1 work here · 10,312 citations](https://md.research.elamur.ai/free/en/authors/philip-s-yu/) · [🧑‍🔬**Shirui Pan**1 work here · 10,312 citations](https://md.research.elamur.ai/free/en/authors/shirui-pan/)

## Top institutions

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

[🎓**University of Technology Sydney** Sydney · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-technology-sydney/) · [🎓**University of Illinois Chicago** Chicago · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-chicago/) · [🎓**Monash University** Melbourne · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/monash-university/)

works and citations from OpenAlex and our library.

- [← previous IEEE Transactions on Neural Networks and Learning Systems 2015](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2015/)
- [↑ 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/)