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 construction and reasoning: rece... 2024 2026 2025 2024 20 40 60

Peers

Xiaohan Wang
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 974
  • Artificial Intelligence 812
  • Statistical and Nonlinear Physics 178
  • Computational Mechanics 163
  • Biomedical Engineering 137
Replace Yanfeng Sun with:
Yanfeng Sun China
Hong-Han Shuai Taiwan
Kyunghyun Cho United States
Yi Chen China
Mingyuan Zhang China
Mohammad Rahmati Iran
Xiao Cai China
Chunyuan Li United States
Zhentao Liu China
Cheng Liu China
Yanfeng Sun China View profile →
Citations per field, relative to Xiaohan Wang
Xiaohan Wang · 1×
Citations per year, relative to Xiaohan Wang
Xiaohan Wang · 1×

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
# Work Indexed citations
1 0
2 0
3 6
4 0
5 12
6
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities breakdown →
73
7 4
8 5
9 32
10 10
11 3
12 1
13 6
14 11
15 7
16 2
17 12
18 22
19 45
20 7

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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