Chunguang Li

8.1k total citations · 2 hit papers
201 papers, 6.2k citations indexed

About

Chunguang Li is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Chunguang Li has authored 201 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 62 papers in Computer Networks and Communications and 43 papers in Computational Mechanics. Recurrent topics in Chunguang Li's work include Advanced Adaptive Filtering Techniques (26 papers), Neural Networks Stability and Synchronization (25 papers) and Distributed Sensor Networks and Detection Algorithms (21 papers). Chunguang Li is often cited by papers focused on Advanced Adaptive Filtering Techniques (26 papers), Neural Networks Stability and Synchronization (25 papers) and Distributed Sensor Networks and Detection Algorithms (21 papers). Chunguang Li collaborates with scholars based in China, Hong Kong and Australia. Chunguang Li's co-authors include Guanrong Chen, Ying Liu, Xiaofeng Liao, Juebang Yu, Zhaoyang Zhang, Daqing Guo, Renè Vidal, Zhaoting Liu, Pengcheng Shen and Kwok‐Wo Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Chunguang Li

191 papers receiving 6.0k citations

Hit Papers

Chaos and hyperchaos in the fractional-order Rössler equa... 2004 2026 2011 2018 2004 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunguang Li China 38 2.7k 2.1k 1.3k 1.1k 892 201 6.2k
Haipeng Peng China 44 2.8k 1.0× 1.7k 0.8× 1.5k 1.1× 768 0.7× 684 0.8× 233 5.9k
K.S. Tang Hong Kong 43 2.5k 0.9× 2.6k 1.2× 2.2k 1.6× 1.5k 1.3× 1.5k 1.7× 230 8.7k
Xiaofeng Liao China 57 5.2k 1.9× 3.1k 1.5× 4.0k 3.0× 4.1k 3.7× 940 1.1× 321 11.0k
Ahmed G. Radwan Egypt 51 863 0.3× 2.3k 1.1× 1.2k 0.9× 1.8k 1.6× 3.1k 3.5× 371 9.0k
Herbert Ho‐Ching Iu Australia 56 2.0k 0.7× 2.9k 1.4× 1.4k 1.1× 1.0k 0.9× 3.2k 3.6× 521 11.6k
Tianping Chen China 52 7.6k 2.8× 3.5k 1.7× 2.1k 1.6× 173 0.2× 1.1k 1.3× 160 8.9k
Lin Xiao China 58 4.9k 1.8× 1.4k 0.7× 5.7k 4.2× 1.9k 1.7× 5.5k 6.2× 298 14.5k
Mehran Mesbahi United States 38 5.4k 2.0× 979 0.5× 556 0.4× 543 0.5× 2.0k 2.3× 216 7.8k
A. Tesi Italy 30 1.4k 0.5× 1.4k 0.7× 853 0.6× 259 0.2× 1.9k 2.1× 175 4.3k
K.F. Man Hong Kong 35 862 0.3× 618 0.3× 1.9k 1.4× 610 0.5× 1.3k 1.5× 187 6.5k

Countries citing papers authored by Chunguang Li

Since Specialization
Citations

This map shows the geographic impact of Chunguang Li'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 Chunguang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunguang Li more than expected).

Fields of papers citing papers by Chunguang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunguang Li. 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 Chunguang Li. The network helps show where Chunguang Li may publish in the future.

Co-authorship network of co-authors of Chunguang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chunguang Li. A scholar is included among the top collaborators of Chunguang Li 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 Chunguang Li. Chunguang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cheng, Qian, et al.. (2025). Reconstruction-Based Anomaly Localization via Knowledge-Informed Self-Training. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10968–10980. 1 indexed citations
2.
Li, Chunguang, et al.. (2025). Physics-informed tensor autoencoder with memory for video anomaly detection. Expert Systems with Applications. 298. 129576–129576.
3.
Zhang, Xue, et al.. (2024). TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 13276–13290. 18 indexed citations
4.
Wang, Dan, Tianyu Wang, Jiarui Fang, et al.. (2024). Study on adsorption and gas sensitive behavior of WO3 (002) and (200) crystal planes. Materials Science in Semiconductor Processing. 179. 108517–108517. 2 indexed citations
5.
Liu, Ying, et al.. (2024). Deeply Supervised Block-Wise Neural Architecture Search. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2451–2464. 4 indexed citations
6.
Li, Yuxin, Zhe Zhang, Ziqi Zhang, et al.. (2023). Construction of Ni2P-NiFe2O4 heterostructured nanosheets towards performance-enhanced water oxidation reaction. Applied Catalysis B: Environmental. 339. 123141–123141. 55 indexed citations
7.
Liu, Yuxin, Zhe Zhang, Yuxin Li, et al.. (2023). Sulfonic acid functionalized Al-based MIL-101-NH2 modified separator for lithium-sulfur batteries. Microporous and Mesoporous Materials. 365. 112892–112892. 2 indexed citations
8.
Guo, Xiuli, Chunguang Li, Xiyang Wang, et al.. (2023). Rational design of interfacial bonds within dual carbon-protected manganese oxide towards durable aqueous zinc ion battery. Science China Chemistry. 66(5). 1406–1416. 18 indexed citations
9.
Liu, Ying, et al.. (2023). Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data. IEEE Internet of Things Journal. 11(1). 1241–1255. 24 indexed citations
10.
Li, Chunguang, et al.. (2021). COMIRE: A Consistence-Based Mislabeled Instances Removal Method. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 3135–3145. 2 indexed citations
11.
Cao, Si-Yuan, Hui‐Liang Shen, Shujie Chen, & Chunguang Li. (2020). Boosting Structure Consistency for Multispectral and Multimodal Image Registration. IEEE Transactions on Image Processing. 29. 5147–5162. 37 indexed citations
12.
Liu, Zhaoting, et al.. (2020). Sparse Robust Learning From Flipped Bits. IEEE Transactions on Signal Processing. 68. 4407–4421. 2 indexed citations
13.
Wang, Shengnan, Chunguang Li, & Hui‐Liang Shen. (2020). Distributed Discrete Hashing by Equivalent Continuous Formulation. IEEE Transactions on Signal and Information Processing over Networks. 6. 196–210. 3 indexed citations
14.
Liu, Ying, et al.. (2018). Distributed online semi-supervised support vector machine. Information Sciences. 466. 236–257. 30 indexed citations
15.
Liu, Ying, et al.. (2018). Online semi-supervised support vector machine. Information Sciences. 439-440. 125–141. 23 indexed citations
16.
Liu, Ying & Chunguang Li. (2017). Distributed Prediction via Adaptive Hammerstein Filter Over Networked Systems. IEEE Transactions on Signal and Information Processing over Networks. 4(3). 534–548. 5 indexed citations
17.
Shen, Hui‐Liang, et al.. (2016). Efficient Photometric Stereo Using Kernel Regression. IEEE Transactions on Image Processing. 26(1). 439–451. 11 indexed citations
18.
Xia, Wen, Chunguang Li, Hong Jiang, et al.. (2015). Edelta: a word-enlarging based fast delta compression approach. 7–7. 5 indexed citations
19.
Li, Chunguang. (2009). Linear contact analysis of worm transmission theory. Machinery Design and Manufacture. 1 indexed citations
20.
Li, Hong, et al.. (2002). HTS cavity and low phase noise oscillator for radar application. IEICE Transactions on Electronics. 85(3). 700–703. 1 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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