Bing Han

2.1k total citations · 2 hit papers
109 papers, 1.4k citations indexed

About

Bing Han is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Bing Han has authored 109 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 36 papers in Ocean Engineering and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Bing Han's work include Maritime Navigation and Safety (32 papers), Risk and Safety Analysis (14 papers) and Visual Attention and Saliency Detection (11 papers). Bing Han is often cited by papers focused on Maritime Navigation and Safety (32 papers), Risk and Safety Analysis (14 papers) and Visual Attention and Saliency Detection (11 papers). Bing Han collaborates with scholars based in China, United States and Australia. Bing Han's co-authors include Xinbo Gao, Xinqiang Chen, Zhongdai Wu, Ryan Wen Liu, Shanshan Fu, Shenping Hu, Yongtao Xi, Mingyang Zhang, Feng Wang and Yuming Xiang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Bing Han

99 papers receiving 1.3k citations

Hit Papers

Orientation-aware ship detection via a rotation feature d... 2023 2026 2024 2025 2023 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Han China 20 481 362 252 152 149 109 1.4k
Faisal Khan Ireland 21 390 0.8× 138 0.4× 1.1k 4.3× 197 1.3× 350 2.3× 59 2.1k
Guoqing Xia China 20 501 1.0× 179 0.5× 75 0.3× 170 1.1× 94 0.6× 102 1.1k
Xiumin Chu China 22 1.0k 2.1× 350 1.0× 45 0.2× 137 0.9× 220 1.5× 129 1.6k
Zhizhong Han China 29 147 0.3× 1.2k 3.4× 158 0.6× 257 1.7× 155 1.0× 69 2.9k
Huanhuan Li China 25 1.1k 2.4× 111 0.3× 246 1.0× 97 0.6× 306 2.1× 93 1.9k
Lily Rachmawati Singapore 13 530 1.1× 296 0.8× 39 0.2× 229 1.5× 125 0.8× 18 1.2k
Qiang Guo China 25 147 0.3× 136 0.4× 77 0.3× 333 2.2× 289 1.9× 205 2.1k
Qing Yu China 23 843 1.8× 59 0.2× 420 1.7× 62 0.4× 413 2.8× 89 1.8k
Yuanqiao Wen China 29 1.4k 3.0× 353 1.0× 116 0.5× 209 1.4× 303 2.0× 157 2.3k
Junmin Mou China 24 1.6k 3.3× 227 0.6× 160 0.6× 79 0.5× 500 3.4× 88 1.9k

Countries citing papers authored by Bing Han

Since Specialization
Citations

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

Fields of papers citing papers by Bing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Han. A scholar is included among the top collaborators of Bing Han 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 Bing Han. Bing Han 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.
Fu, Shanshan, et al.. (2025). A data-driven framework for risk and resilience analysis in maritime transportation systems: A case study of domino effect accidents in arctic waters. Reliability Engineering & System Safety. 260. 111049–111049. 14 indexed citations
2.
Han, Bing, et al.. (2025). An IPSO-RC-Based Study on Dynamic Coordination Excitation and Optimal Capacity Allocation for Marine Hybrid Energy Systems. Journal of Marine Science and Engineering. 13(11). 2197–2197.
3.
Deng, Wanyi, Weiliang Qiao, Xiaoxue Ma, & Bing Han. (2024). A novel unconstrained methodology for economic analysis of the level of repair with a case study of a multi-indenture and multi-echelon repair network. Computers & Industrial Engineering. 192. 110215–110215. 1 indexed citations
4.
Han, Bing, et al.. (2024). Eye-movement-prompted large image captioning model. Pattern Recognition. 159. 111097–111097. 3 indexed citations
5.
Xi, Yongtao, et al.. (2024). Intelligent ship collision avoidance in maritime field: A bibliometric and systematic review. Expert Systems with Applications. 252. 124148–124148. 20 indexed citations
6.
Liu, Jin, et al.. (2024). VT-3DCapsNet: Visual tempos 3D-Capsule network for video-based facial expression recognition. PLoS ONE. 19(8). e0307446–e0307446. 2 indexed citations
7.
Han, Bing, Feifei Zhao, Yi Zeng, & Guobin Shen. (2024). Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 240–251. 5 indexed citations
8.
Liu, Jin, et al.. (2024). A Lightweight Network for Ship Detection in SAR Images Based on Edge Feature Aware and Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 3782–3796. 5 indexed citations
9.
Han, Bing, et al.. (2024). Clinical application of machine learning‐based pathomics signature of gastric atrophy. Frontiers in Oncology. 14. 1289265–1289265. 3 indexed citations
10.
Li, Zeshang, Sheng Wang, Xinyu Geng, Weimin Chen, & Bing Han. (2023). Complex uncertainty-oriented robust topology optimization for multiple mechanical metamaterials based on double-layer mesh. Computer Methods in Applied Mechanics and Engineering. 419. 116589–116589. 27 indexed citations
11.
Liu, Zhichen, et al.. (2023). Spatial modeling and analysis approach for ship-encounters dynamic spatial–temporal domain. Ocean Engineering. 278. 114373–114373. 4 indexed citations
12.
Xi, Yongtao, et al.. (2023). Spatial-temporal analysis method of ship traffic accidents involving data field: An evidence from risk evolution of ship collision. Ocean Engineering. 276. 114191–114191. 18 indexed citations
13.
Li, Zhihong, Di Zhang, Bing Han, & Chengpeng Wan. (2023). Risk and reliability analysis for maritime autonomous surface ship: A bibliometric review of literature from 2015 to 2022. Accident Analysis & Prevention. 187. 107090–107090. 39 indexed citations
14.
Xu, Kun, et al.. (2023). Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach. Engineering Applications of Artificial Intelligence. 126. 107063–107063. 43 indexed citations
15.
Zhou, Ri‐Gui, et al.. (2023). Raman ConvMSANet: A High-Accuracy Neural Network for Raman Spectroscopy Blood and Semen Identification. ACS Omega. 8(33). 30421–30431. 9 indexed citations
16.
Liu, Jin, et al.. (2023). Trajectory prediction of seagoing ships in dynamic traffic scenes via a gated spatio-temporal graph aggregation network. Ocean Engineering. 287. 115886–115886. 29 indexed citations
18.
Wang, Hong, et al.. (2023). Cross-modal knowledge guided model for abstractive summarization. Complex & Intelligent Systems. 10(1). 577–594. 10 indexed citations
19.
Chen, Xinqiang, et al.. (2023). Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach. Engineering Applications of Artificial Intelligence. 125. 106686–106686. 90 indexed citations breakdown →
20.
Hu, Shenping, et al.. (2022). Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN. Reliability Engineering & System Safety. 229. 108850–108850. 71 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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