Hua Han

595 total citations
38 papers, 440 citations indexed

About

Hua Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hua Han has authored 38 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Hua Han's work include Video Surveillance and Tracking Methods (9 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Vision and Imaging (4 papers). Hua Han is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Vision and Imaging (4 papers). Hua Han collaborates with scholars based in China, United States and Saudi Arabia. Hua Han's co-authors include MengChu Zhou, Kuangrong Hao, Yongsheng Ding, Yifan Hu, Yujin Zhang, Abdullah Abusorrah, Wei Cao, Xiao Liang, Jinliang Liu and Songlin Hu and has published in prestigious journals such as IEEE Access, Information Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Hua Han

37 papers receiving 424 citations

Peers

Hua Han
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 195
  • Computer Networks and Communications 105
  • Artificial Intelligence 97
  • Control and Systems Engineering 85
  • Electrical and Electronic Engineering 64
Replace Fang Mei with:
Fang Mei China
Ajit Kumar Sahoo India
Hongwei Ding China
Jialiang Wang China
Qiangqiang Wu China
Andi Tang China
Geng Zhang China
Fang Mei China View profile →
Citations per field, relative to Hua Han
Hua Han · 1×
Citations per year, relative to Hua Han
Hua Han · 1×

Countries citing papers authored by Hua Han

Since Specialization
Citations

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

Fields of papers citing papers by Hua Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Han. A scholar is included among the top collaborators of Hua 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 Hua Han. Hua 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
# Work Indexed citations
1 0
2 1
3 1
4 5
5 1
6 1
7 7
8 4
9 1
10 19
11 37
12 10
13 4
14 1
15 21
16 8
17 1
18 3
19 57
20 49

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026