Gang Li

8.0k total citations · 1 hit paper
327 papers, 6.0k citations indexed

About

Gang Li is a scholar working on Aerospace Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Gang Li has authored 327 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Aerospace Engineering, 82 papers in Biomedical Engineering and 79 papers in Computational Mechanics. Recurrent topics in Gang Li's work include Advanced SAR Imaging Techniques (103 papers), Sparse and Compressive Sensing Techniques (74 papers) and Microwave Imaging and Scattering Analysis (54 papers). Gang Li is often cited by papers focused on Advanced SAR Imaging Techniques (103 papers), Sparse and Compressive Sensing Techniques (74 papers) and Microwave Imaging and Scattering Analysis (54 papers). Gang Li collaborates with scholars based in China, United States and Canada. Gang Li's co-authors include Xiang‐Gen Xia, You He, Pramod K. Varshney, Xueqian Wang, Yingning Peng, Xiqin Wang, S. Joe Qin, Zhikun Xu, Shuangfeng Han and Corbett Rowell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Renewable and Sustainable Energy Reviews.

In The Last Decade

Gang Li

292 papers receiving 5.8k citations

Hit Papers

Toward green and soft: a 5G perspective 2014 2026 2018 2022 2014 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
Gang Li China 40 2.5k 1.4k 1.3k 802 747 327 6.0k
Wei Liu China 44 3.5k 1.4× 2.4k 1.7× 619 0.5× 683 0.9× 647 0.9× 745 8.8k
Yimin D. Zhang United States 53 6.0k 2.4× 3.6k 2.5× 1.8k 1.3× 755 0.9× 735 1.0× 384 12.0k
Hongwei Liu China 49 6.7k 2.7× 1.3k 0.9× 1.2k 0.9× 2.3k 2.9× 1.2k 1.7× 685 10.8k
Feng Zhou China 40 3.2k 1.3× 612 0.4× 1.2k 0.9× 556 0.7× 448 0.6× 316 5.0k
Abdelhak M. Zoubir Germany 42 1.8k 0.7× 1.6k 1.1× 1.3k 1.0× 1.2k 1.5× 552 0.7× 509 6.5k
Andrew G. Dempster Australia 44 2.8k 1.2× 3.9k 2.7× 643 0.5× 998 1.2× 1.2k 1.7× 336 7.5k
Jie Wang China 40 878 0.4× 2.6k 1.8× 507 0.4× 664 0.8× 825 1.1× 346 5.9k
Jingdong Chen China 41 1.0k 0.4× 1.3k 0.9× 1.7k 1.3× 1.1k 1.3× 867 1.2× 329 8.2k
Abdesselam Bouzerdoum Australia 35 794 0.3× 1.1k 0.7× 1.0k 0.8× 926 1.2× 2.0k 2.7× 296 5.2k
Wei Chen China 38 530 0.2× 1.9k 1.3× 561 0.4× 1.0k 1.3× 1.5k 2.1× 467 5.5k

Countries citing papers authored by Gang Li

Since Specialization
Citations

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

Fields of papers citing papers by Gang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Li. A scholar is included among the top collaborators of Gang 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 Gang Li. Gang 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.
Li, Chengxi, Gang Li, Zhuoyue Wang, Xueqian Wang, & Pramod K. Varshney. (2024). COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks. Information Fusion. 106. 102240–102240. 7 indexed citations
2.
Fan, Xiaoyu, Yilin Cao, Jianmin Song, et al.. (2024). A comparative study on the electrical properties of Ba0.6Sr0.4TiO3 film capacitors with different top electrodes. Current Applied Physics. 68. 39–43.
3.
Li, Yang, Songyao Zhang, Weihan Zhang, et al.. (2024). Contrastive machine learning reveals species -shared and -specific brain functional architecture. Medical Image Analysis. 101. 103431–103431. 1 indexed citations
4.
Zhuo, Yuqun, Xueqian Wang, Jianghong Han, Gang Li, & Xiao–Ping Zhang. (2024). A Joint Optimization Method of Pulse Transmission and Range-Doppler Reconstruction for Pulse-Doppler Radar. 1–6.
6.
Wang, Zhuoyue, Xueqian Wang, Gang Li, & Chengxi Li. (2024). Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 1 indexed citations
7.
Li, Gang, et al.. (2024). TF-GAN: Satellite Anomaly Detection via Generative Adversarial Networks and Time–Frequency Spectrum. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 9143–9153. 1 indexed citations
8.
Li, Gang, et al.. (2023). Detection Method of Radar Space Target Abnormal Motion via Local Density Peaks and Micro-Motion Feature. IEEE Geoscience and Remote Sensing Letters. 20. 1–5.
9.
Li, Gang, et al.. (2021). One-Bit Radar Imaging Via Adaptive Binary Iterative Hard Thresholding. IEEE Transactions on Computational Imaging. 7. 1005–1017. 8 indexed citations
10.
Li, Gang, et al.. (2021). 1-Bit Radar Imaging Based on Adversarial Samples. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 5 indexed citations
11.
He, You, et al.. (2020). Robust STAP Detection Based on Volume Cross-Correlation Function in Heterogeneous Environments. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
12.
Wang, Ziang, et al.. (2020). Extrinsic Parameters Calibration of Ultra-Wide Angle Long-Wave Infrared Stereo Vision and Evaluation of Intrinsic and Extrinsic Parameters. Guangpuxue yu guangpu fenxi. 40(9). 2670. 1 indexed citations
13.
Li, Gang, et al.. (2019). Novel 4D 79 GHz Radar Concept for Object Detection and Active Safety Applications. 87–90. 22 indexed citations
14.
Li, Gang, et al.. (2019). Refocusing of Moving Targets Based on Low-Bit Quantized SAR Data via Parametric Quantized Iterative Hard Thresholding. IEEE Transactions on Aerospace and Electronic Systems. 56(3). 2198–2211. 12 indexed citations
15.
Li, Gang, et al.. (2018). Fabrication and characterization of superconducting RSFQ circuits. Rare Metals. 38(10). 899–904. 5 indexed citations
16.
Li, Gang, et al.. (2017). Refocusing of Moving Targets in SAR Images via Parametric Sparse Representation. Remote Sensing. 9(8). 795–795. 24 indexed citations
17.
Zhang, Li, et al.. (2016). Research on Error Analysis and Correction Technique of Atmospheric Refraction for InSAR Measurement with Distributed Satellites. Journal of Computer and Communications. 4(15). 142–150. 1 indexed citations
18.
Chen, Hongbin, Gang Li, & Jun Cai. (2015). Spectral–Energy Efficiency Tradeoff in Full-Duplex Two-Way Relay Networks. IEEE Systems Journal. 12(1). 583–592. 40 indexed citations
19.
Lou, Yang, Junli Li, & Gang Li. (2012). A differential evolution algorithm based on individual-sorting and individual-sampling strategies. Journal of Computer Information Systems. 8(2). 717–725. 4 indexed citations
20.
Zhang, Xiang, et al.. (2010). Particle swarm optimization for correcting judgment matrix consistency in analytic hierarchy process. Chinese Control Conference. 5252–5257. 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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