Shan Zhong

1.5k total citations
85 papers, 911 citations indexed

About

Shan Zhong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shan Zhong has authored 85 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Shan Zhong's work include Reinforcement Learning in Robotics (11 papers), Video Surveillance and Tracking Methods (9 papers) and Mobile Ad Hoc Networks (6 papers). Shan Zhong is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Video Surveillance and Tracking Methods (9 papers) and Mobile Ad Hoc Networks (6 papers). Shan Zhong collaborates with scholars based in China, United States and Japan. Shan Zhong's co-authors include Xiaonan Wang, Xiaodong Wang, Anwar Walid, Xiao-Yang Liu, Hongyang Yang, Shengrong Gong, Qiming Fu, Xuemei Chen, Lifan Zhou and Qing‐Rong Liu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Shan Zhong

76 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan Zhong China	14	238	161	159	143	118	85	911
Yu Bai United States	16	211 0.9×	108 0.7×	209 1.3×	151 1.1×	107 0.9×	69	916
Pius Adewale Owolawi South Africa	16	543 2.3×	86 0.5×	88 0.6×	95 0.7×	146 1.2×	188	980
Samaneh Aminikhanghahi United States	9	114 0.5×	146 0.9×	324 2.0×	202 1.4×	21 0.2×	14	1.0k
Ta‐Hsin Li United States	15	91 0.4×	77 0.5×	288 1.8×	102 0.7×	23 0.2×	58	983
William Lefebvre France	5	126 0.5×	49 0.3×	256 1.6×	65 0.5×	21 0.2×	13	830
Laurie Davies Germany	10	97 0.4×	57 0.4×	147 0.9×	58 0.4×	29 0.2×	26	866
Mayank Agarwal India	20	137 0.6×	274 1.7×	322 2.0×	154 1.1×	17 0.1×	118	1.2k
Paulo Gonçalves Brazil	11	92 0.4×	75 0.5×	309 1.9×	120 0.8×	15 0.1×	19	904
Songfeng Zheng United States	13	77 0.3×	123 0.8×	134 0.8×	153 1.1×	26 0.2×	33	488
Yu Huang China	16	96 0.4×	91 0.6×	158 1.0×	94 0.7×	98 0.8×	88	842

Countries citing papers authored by Shan Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Shan Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Zhong

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

All Works

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20 of 20 papers shown

Ying, Wenhao, et al.. (2025). Subgraph retrieval and link scoring model for multi-hop question answering in knowledge graphs. Applied Intelligence. 55(6).

Zhong, Shan, et al.. (2025). Trajectory self-correction and uncertainty estimation for enhanced model-based policy optimization. Expert Systems with Applications. 274. 126993–126993.

Gong, Shengrong, et al.. (2025). Coupled flows as guidance for model-based policy optimization. Engineering Applications of Artificial Intelligence. 159. 111528–111528. 1 indexed citations

Zhong, Shan, et al.. (2024). A Study of spatiotemporal features of sweeping jets acting on afterbody vortices using low-operation-rate stereo PIV. Experimental Thermal and Fluid Science. 158. 111244–111244. 8 indexed citations

Liu, Wei, Lifan Zhou, Shan Zhong, & Shengrong Gong. (2024). Semantic Assistance in SAR Object Detection: A Mask-Guided Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 19395–19407. 2 indexed citations

Zhong, Shan, et al.. (2023). DAR-ILL: Double-Attention Refining and Iterative Labeling Learning for Weakly Supervised Object Detection. IEEE Transactions on Cognitive and Developmental Systems. 16(3). 899–911.

Zhou, Lifan, et al.. (2023). HRSF-Net: A High-Resolution Strong Fusion Network for Pixel-Level Classification of the Thin-Stripped Target for Remote Sensing System. 4(4). 368–375.

Zhou, Xuanyu, Lifan Zhou, Shengrong Gong, et al.. (2023). Hybrid CNN and Transformer Network for Semantic Segmentation of UAV Remote Sensing Images. 5(1). 33–41. 4 indexed citations

Zhou, Xuanyu, et al.. (2023). Swin Transformer Embedding Dual-Stream for Semantic Segmentation of Remote Sensing Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 175–189. 22 indexed citations

10.

Zhong, Shan, et al.. (2022). Visual Tracking With Reinforced Template Updating and Redetection Discriminator. 4(1). 70–75. 1 indexed citations

11.

Ji, Guang, Zhaohui Wang, Lifan Zhou, et al.. (2020). SAR Image Colorization Using Multidomain Cycle-Consistency Generative Adversarial Network. IEEE Geoscience and Remote Sensing Letters. 18(2). 296–300. 37 indexed citations

12.

Zhong, Shan, Shengrong Gong, Kaijian Xia, et al.. (2020). Behavior Prediction for Unmanned Driving Based on Dual Fusions of Feature and Decision. IEEE Transactions on Intelligent Transportation Systems. 22(6). 3687–3696. 9 indexed citations

13.

Yang, Hongyang, Xiao-Yang Liu, Shan Zhong, & Anwar Walid. (2020). Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. SSRN Electronic Journal. 48 indexed citations

14.

Zhong, Shan. (2013). Design and Realization of Numerical Sea Ice Forecast System Based on Data Marts. Computer and Modernization. 1 indexed citations

15.

Wang, Xiaonan & Shan Zhong. (2012). A Routing Scheme for IPv6-Based All-IP Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 8(11). 750681–750681. 1 indexed citations

16.

Zhong, Shan, et al.. (2011). A Control Method for SVG Based on Differential Geometry Nonlinear Control. Energy and Power Engineering. 3(3). 271–275. 1 indexed citations

17.

Wang, Xiaonan, et al.. (2011). A mobility support scheme for 6LoWPAN. Computer Communications. 35(3). 392–404. 51 indexed citations

18.

Xia, Kaijian, et al.. (2010). An edge detection improved algorithm based on morphology and wavelet transform. 28. 404–407. 10 indexed citations

19.

Zhong, Shan. (2007). Research of unscented Kalman filter in initial alignment of inertial navigation systems. Systems engineering and electronics. 2 indexed citations

20.

Zhong, Shan, et al.. (2007). Reverse seeking design on cam contour based on generalized extended approximation method. Journal of Machine Design. 24(9). 11–14. 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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