Zhigang Li

1.2k total citations
59 papers, 820 citations indexed

About

Zhigang Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhigang Li has authored 59 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhigang Li's work include Neural Networks and Reservoir Computing (8 papers), Atmospheric aerosols and clouds (5 papers) and Advanced Memory and Neural Computing (4 papers). Zhigang Li is often cited by papers focused on Neural Networks and Reservoir Computing (8 papers), Atmospheric aerosols and clouds (5 papers) and Advanced Memory and Neural Computing (4 papers). Zhigang Li collaborates with scholars based in China, United States and United Kingdom. Zhigang Li's co-authors include Yang Liu, Guangming Zeng, Binbin Shao, Zhifeng Liu, Xiaochuan Sun, Meng Han, Asif Iqbal Baba, Yingqi Li, Jia Yuan and Dalei Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and IEEE Access.

In The Last Decade

Zhigang Li

52 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhigang Li China 13 145 117 113 104 88 59 820
Tingting Wang China 15 67 0.5× 134 1.1× 177 1.6× 104 1.0× 39 0.4× 83 1.0k
Jiwei Liu China 13 242 1.7× 173 1.5× 28 0.2× 124 1.2× 64 0.7× 46 1.0k
Qianqian Li China 15 169 1.2× 132 1.1× 55 0.5× 247 2.4× 79 0.9× 75 940
Feng Ye China 19 241 1.7× 94 0.8× 127 1.1× 48 0.5× 214 2.4× 80 1.1k
Qing Yu China 22 82 0.6× 163 1.4× 36 0.3× 131 1.3× 128 1.5× 117 1.5k
Yuri Lawryshyn Canada 14 105 0.7× 76 0.6× 17 0.2× 54 0.5× 72 0.8× 49 771
Arshad Ali Pakistan 17 91 0.6× 187 1.6× 202 1.8× 49 0.5× 135 1.5× 160 1.1k
An Yan China 17 72 0.5× 119 1.0× 27 0.2× 78 0.8× 77 0.9× 61 733
Xinyi Zhang China 14 52 0.4× 75 0.6× 111 1.0× 58 0.6× 164 1.9× 78 968
Emer Tucay Quezon Ethiopia 7 59 0.4× 47 0.4× 40 0.4× 35 0.3× 86 1.0× 45 970

Countries citing papers authored by Zhigang Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhigang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhigang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhigang Li. A scholar is included among the top collaborators of Zhigang 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 Zhigang Li. Zhigang 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.
Wang, Qiaoyun, et al.. (2025). Hierarchical extreme learning machine for dimensionality reduction in near-infrared spectral analysis. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 346. 126852–126852. 1 indexed citations
2.
Ding, Li, Donghui Wu, Cheng Zhang, et al.. (2024). Regional photovoltaic power prediction based on multi-agent federated learning and deep learning. 49. 16–21. 1 indexed citations
3.
4.
Li, Zhigang, et al.. (2023). Growing pains for others: Using holidays to identify the pollution spillover between China and South Korea. China Economic Review. 77. 101916–101916. 3 indexed citations
5.
Li, Zhigang, Ting Sun, Yu Wang, Yujie Liu, & Xiaochuan Sun. (2023). Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA). Entropy. 25(4). 689–689. 1 indexed citations
6.
7.
Li, Zhigang, et al.. (2023). A lightweight multi-feature fusion structure for automatic modulation classification. Physical Communication. 61. 102170–102170. 4 indexed citations
8.
Yang, Xin, Zhigang Li, Zhanyu Yao, et al.. (2023). COVID‐19 Pandemic Reveals Distinct Impact of Aerosols on Surface Solar Radiation in China. Geophysical Research Letters. 50(5). 4 indexed citations
9.
10.
Gu, Wei, et al.. (2021). Research on the Influence of Sports APP on College Students' Physical Exercise. Advances in Educational Technology and Psychology. 5(8). 51–55.
11.
Li, Zhigang, et al.. (2021). Investigating Neural Activation Effects on Deep Belief Echo-State Networks for Prediction Toward Smart Ocean Environment Monitoring. Arabian Journal for Science and Engineering. 46(4). 3913–3923.
12.
13.
Li, Yingqi, Juan Wang, Xiaochuan Sun, et al.. (2020). Smoothing-Aided Support Vector Machine Based Nonstationary Video Traffic Prediction Towards B5G Networks. IEEE Transactions on Vehicular Technology. 69(7). 7493–7502. 28 indexed citations
14.
Sun, Xiaochuan, et al.. (2020). Toward Self-Adaptive Selection of Kernel Functions for Support Vector Regression in IoT-Based Marine Data Prediction. IEEE Internet of Things Journal. 7(10). 9943–9952. 14 indexed citations
15.
Sun, Xiaochuan, et al.. (2020). Multivariate Seawater Quality Prediction Based on PCA-RVM Supported by Edge Computing Towards Smart Ocean. IEEE Access. 8. 54506–54513. 18 indexed citations
16.
Li, Zhigang, Jialin Wang, Di Cai, et al.. (2020). Smoothed Deep Neural Networks for Marine Sensor Data Prediction. IEEE Access. 8. 22802–22811. 4 indexed citations
17.
Jiang, Yilin, Zhifeng Liu, Guangming Zeng, et al.. (2018). Polyaniline-based adsorbents for removal of hexavalent chromium from aqueous solution: a mini review. Environmental Science and Pollution Research. 25(7). 6158–6174. 136 indexed citations
18.
Shao, Binbin, Zhifeng Liu, Hua Zhong, et al.. (2017). Effects of rhamnolipids on microorganism characteristics and applications in composting: A review. Microbiological Research. 200. 33–44. 137 indexed citations
19.
Liu, Zhifeng, Mingda Yu, Guangming Zeng, et al.. (2016). Investigation on the reaction of phenolic pollutions to mono-rhamnolipid micelles using MEUF. Environmental Science and Pollution Research. 24(2). 1230–1240. 20 indexed citations
20.
Li, Zhigang. (2012). Remaining Lifetime Prediction of Relay Based on BP Neural Network. Low Voltage Apparatus. 2 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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