Xiaohan Wang

3.3k total citations · 1 hit paper
130 papers, 1.9k citations indexed

About

Xiaohan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Xiaohan Wang has authored 130 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 46 papers in Artificial Intelligence and 15 papers in Computational Mechanics. Recurrent topics in Xiaohan Wang's work include Human Pose and Action Recognition (22 papers), Multimodal Machine Learning Applications (21 papers) and Video Surveillance and Tracking Methods (11 papers). Xiaohan Wang is often cited by papers focused on Human Pose and Action Recognition (22 papers), Multimodal Machine Learning Applications (21 papers) and Video Surveillance and Tracking Methods (11 papers). Xiaohan Wang collaborates with scholars based in China, Australia and United States. Xiaohan Wang's co-authors include Yi Yang, Linchao Zhu, Yuantao Gu, Pengfei Liu, Yu Wu, Zhedong Zheng, Xiaolin Wu, Wenguan Wang, Xiangjun Zhang and Libao Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaohan Wang

117 papers receiving 1.9k citations

Hit Papers

LLMs for knowledge graph ... 2024 2026 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities
    2024 73 citations Xiaohan Wang, Jing Chen et al. World Wide Web profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaohan Wang 974 812 178 163 137 130 1.9k
Yanfeng Sun 1.1k 1.1× 534 0.7× 68 0.4× 196 1.2× 102 0.7× 187 2.4k
Hong-Han Shuai 745 0.8× 494 0.6× 105 0.6× 68 0.4× 57 0.4× 119 1.5k
Kyunghyun Cho 606 0.6× 973 1.2× 64 0.4× 55 0.3× 69 0.5× 39 1.5k
Yi Chen 612 0.6× 555 0.7× 110 0.6× 60 0.4× 83 0.6× 139 2.1k
Mingyuan Zhang 605 0.6× 355 0.4× 69 0.4× 101 0.6× 121 0.9× 49 1.2k
Mohammad Rahmati 667 0.7× 528 0.7× 52 0.3× 48 0.3× 69 0.5× 104 1.5k
Xiao Cai 1.8k 1.9× 1.2k 1.5× 103 0.6× 514 3.2× 107 0.8× 32 3.0k
Chunyuan Li 1.6k 1.7× 1.7k 2.1× 38 0.2× 153 0.9× 37 0.3× 78 3.0k
Zhentao Liu 650 0.7× 563 0.7× 36 0.2× 164 1.0× 194 1.4× 183 2.8k
Cheng Liu 487 0.5× 688 0.8× 50 0.3× 62 0.4× 58 0.4× 96 1.5k

Countries citing papers authored by Xiaohan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohan Wang. A scholar is included among the top collaborators of Xiaohan Wang 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 Xiaohan Wang. Xiaohan Wang 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.
Liu, Jingbo, Guo-Zheng Sun, Hongna Zhang, et al.. (2025). Glyphosate below no-observed-adverse-effect level exacerbates fatty liver hemorrhagic syndrome in laying hens. Poultry Science. 104(11). 105847–105847.
2.
Zhu, Linchao, et al.. (2024). DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6540–6548. 12 indexed citations
3.
Wang, Xiaohan, Jing Chen, Shuofei Qiao, et al.. (2024). LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities. World Wide Web. 27(5). 73 indexed citations breakdown →
4.
Wang, Xiaohan, Shumin Deng, Yunzhi Yao, et al.. (2024). Editing Conceptual Knowledge for Large Language Models. 706–724. 4 indexed citations
5.
Zhang, Yajie, et al.. (2024). Imaging Segmentation of Brain Tumors Based on the Modified U-net Method. Information Technology And Control. 53(4). 1074–1087. 5 indexed citations
6.
Liang, Yuebing, Yichao Liu, Xiaohan Wang, & Zhan Zhao. (2024). Exploring large language models for human mobility prediction under public events. Computers Environment and Urban Systems. 112. 102153–102153. 32 indexed citations
7.
Liang, Yi, et al.. (2024). Advances in structural color composite films based on cellulose nanocrystals. Industrial Crops and Products. 221. 119294–119294. 6 indexed citations
8.
Li, Haowen, et al.. (2024). Co-pyrolysis coking characteristics of nC12H26 and DHN/MeOH/EtOH/MF/DMF/H2O/H2/CO2/CO/N2 under supercritical condition. Journal of Analytical and Applied Pyrolysis. 178. 106429–106429.
9.
Feng, Tuo, Ruijie Quan, Xiaohan Wang, Wenguan Wang, & Yi Yang. (2024). Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1761–1769. 10 indexed citations
10.
Sun, Ke, et al.. (2024). Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4650–4658. 3 indexed citations
11.
Zhang, Liyan, Fangzhi Tan, Jieyu Qi, et al.. (2024). AAV‐mediated Gene Therapy for Hereditary Deafness: Progress and Perspectives. Advanced Science. 11(47). e2402166–e2402166. 13 indexed citations
12.
Tao, N., et al.. (2024). Experimental study on CH4/NH3 turbulent lifted flames with the variations in air coflow velocity and fuel nozzle diameter. Journal of the Energy Institute. 119. 101939–101939. 1 indexed citations
13.
Wang, Xiaohan, et al.. (2023). Gloss-Free End-to-End Sign Language Translation. 12904–12916. 6 indexed citations
14.
Xie, Xin, et al.. (2023). LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings. 25–33. 11 indexed citations
15.
16.
Liang, Yuanzhi, Linchao Zhu, Xiaohan Wang, & Yi Yang. (2023). IcoCap: Improving Video Captioning by Compounding Images. IEEE Transactions on Multimedia. 26. 4389–4400. 12 indexed citations
17.
Liu, Yanbin, Linchao Zhu, Xiaohan Wang, Makoto Yamada, & Yi Yang. (2023). Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11475–11485. 12 indexed citations
18.
19.
Wang, Xiaohan, Linchao Zhu, Zhedong Zheng, Mingliang Xu, & Yi Yang. (2022). Align and Tell: Boosting Text-Video Retrieval With Local Alignment and Fine-Grained Supervision. IEEE Transactions on Multimedia. 25. 6079–6089. 63 indexed citations
20.
Liang, Yuanzhi, Linchao Zhu, Xiaohan Wang, & Yi Yang. (2022). Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 7048–7059. 10 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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