Liangming Chen

578 total citations
13 papers, 351 citations indexed

About

Liangming Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Liangming Chen has authored 13 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Liangming Chen's work include Neural Networks and Applications (5 papers), Machine Learning and ELM (4 papers) and Advanced Neural Network Applications (4 papers). Liangming Chen is often cited by papers focused on Neural Networks and Applications (5 papers), Machine Learning and ELM (4 papers) and Advanced Neural Network Applications (4 papers). Liangming Chen collaborates with scholars based in China and United States. Liangming Chen's co-authors include Long Jin, Mei Liu, Mingsheng Shang, Yuhe Li, Zhiguan Huang, Yao Chou, Shuai Li, Jinchuan Zhao, Nianyin Zeng and Anjie Peng and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Liangming Chen

11 papers receiving 338 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liangming Chen China 7 146 122 104 76 32 13 351
Deyun Chen China 9 116 0.8× 224 1.8× 84 0.8× 17 0.2× 78 2.4× 86 475
Jia Wei China 13 222 1.5× 199 1.6× 21 0.2× 24 0.3× 62 1.9× 40 446
S. Ramathilagam India 11 166 1.1× 219 1.8× 65 0.6× 22 0.3× 7 0.2× 21 384
Wenhui Wang China 10 148 1.0× 234 1.9× 29 0.3× 35 0.5× 64 2.0× 33 460
Seyyed Ali Seyyedsalehi Iran 12 150 1.0× 116 1.0× 14 0.1× 21 0.3× 33 1.0× 55 365
Tejalal Choudhary India 6 196 1.3× 172 1.4× 23 0.2× 14 0.2× 38 1.2× 9 424
Haishun Du China 11 162 1.1× 262 2.1× 89 0.9× 20 0.3× 26 0.8× 38 501
Omid Tarkhaneh Iran 8 180 1.2× 103 0.8× 29 0.3× 15 0.2× 11 0.3× 10 296
Sandip Dey India 10 242 1.7× 181 1.5× 18 0.2× 18 0.2× 42 1.3× 31 436
Honghui Wang China 3 235 1.6× 228 1.9× 16 0.2× 16 0.2× 70 2.2× 4 462

Countries citing papers authored by Liangming Chen

Since Specialization
Citations

This map shows the geographic impact of Liangming Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liangming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangming Chen more than expected).

Fields of papers citing papers by Liangming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liangming Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liangming Chen. The network helps show where Liangming Chen may publish in the future.

Co-authorship network of co-authors of Liangming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Liangming Chen. A scholar is included among the top collaborators of Liangming Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liangming Chen. Liangming Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Liu, Mei, et al.. (2025). Learnable-Parameters-Incorporated Neural Dynamics for Time-Dependent System of Linear Equations. IEEE Transactions on Emerging Topics in Computational Intelligence. 10(1). 206–216.
2.
Wang, Difeng, et al.. (2025). Maximizing Depth of Graph-Structured Convolutional Neural Networks with Efficient Pathway Usage for Remote Sensing. Tsinghua Science & Technology. 30(5). 1940–1953.
3.
Chen, Liangming, Long Jin, Mingsheng Shang, & Fei‐Yue Wang. (2024). Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 6837–6848. 1 indexed citations
4.
Chen, Liangming, Long Jin, & Mingsheng Shang. (2024). Efficient Loss Landscape Reshaping for Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 12535–12549. 6 indexed citations
5.
Jin, Long, Jinchuan Zhao, Liangming Chen, & Shuai Li. (2024). Collective Neural Dynamics for Sparse Motion Planning of Redundant Manipulators Without Hessian Matrix Inversion. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4326–4335. 15 indexed citations
6.
Su, Dan, et al.. (2023). Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method. Applied Soft Computing. 149. 110992–110992. 4 indexed citations
7.
Chen, Liangming, et al.. (2023). Long short-term memory with activation on gradient. Neural Networks. 164. 135–145. 23 indexed citations
8.
Chen, Liangming, Long Jin, & Mingsheng Shang. (2022). Zero Stability Well Predicts Performance of Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 6268–6277. 6 indexed citations
9.
Liu, Mei, et al.. (2021). Activated Gradients for Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 2156–2168. 156 indexed citations
10.
Huang, Zhiguan, Liangming Chen, Yuhe Li, et al.. (2020). Convolutional Neural Network Based on Complex Networks for Brain Tumor Image Classification With a Modified Activation Function. IEEE Access. 8. 89281–89290. 103 indexed citations
11.
Chen, Liangming, et al.. (2020). Brain Tumor Image Classification by Randomly Wired Neural Networks with a Modified Method. Lanzhou University Institutional Repository. 1141–1146. 3 indexed citations
12.
Chen, Liangming, Zhiguan Huang, Yuhe Li, et al.. (2019). Weight and Structure Determination Neural Network Aided With Double Pseudoinversion for Diagnosis of Flat Foot. IEEE Access. 7. 33001–33008. 26 indexed citations
13.
Chen, Liangming, et al.. (2008). Synchronization in complex networks by time-varying couplings. The European Physical Journal D. 48(3). 405–409. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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