Hua Han

9.8k total citations · 2 hit papers
116 papers, 2.3k citations indexed

About

Hua Han is a scholar working on Biophysics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hua Han has authored 116 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biophysics, 23 papers in Molecular Biology and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hua Han's work include Cell Image Analysis Techniques (32 papers), Advanced Electron Microscopy Techniques and Applications (19 papers) and Image Processing Techniques and Applications (12 papers). Hua Han is often cited by papers focused on Cell Image Analysis Techniques (32 papers), Advanced Electron Microscopy Techniques and Applications (19 papers) and Image Processing Techniques and Applications (12 papers). Hua Han collaborates with scholars based in China, Macao and United States. Hua Han's co-authors include Cheryl L. Grady, Patrick S. R. Davidson, Morris Moscovitch, Julia Spaniol, Alice S. N. Kim, Deqiang Kong, Yao Zhao, Zhenfeng Zhu, Youru Li and Yi‐Hua Qian and has published in prestigious journals such as Science, Nature Communications and Bioinformatics.

In The Last Decade

Hua Han

110 papers receiving 2.3k citations

Hit Papers

Event-related fMRI studies of episodic encoding and retri... 2009 2026 2014 2020 2009 2019 100 200 300 400 500

Peers

Hua Han
Comparison fields: 5 of 173
  • Cognitive Neuroscience 639
  • Molecular Biology 325
  • Computer Vision and Pattern Recognition 278
  • Cellular and Molecular Neuroscience 229
  • Physiology 200
Replace Ting Li with:
Ting Li China
Liang Zou China
Qiong Wang China
V. Srinivasa Chakravarthy India
Yuan Zhang China
R.I. Kitney United Kingdom
Tong Boon Tang Malaysia
Wenwei Yu Japan
Michalis Zervakis Greece
Metin Akay United States
Ting Li 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 3
4 1
5 3
6 1
7 3
8 9
9 1
10 7
11 4
12 8
13 83
14 8
15 6
16 2
17 21
18 69
19 56
20 9

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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