Sheng Hu

939 total citations
29 papers, 679 citations indexed

About

Sheng Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Sheng Hu has authored 29 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Sheng Hu's work include Anesthesia and Neurotoxicity Research (4 papers), Cardiac Ischemia and Reperfusion (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Sheng Hu is often cited by papers focused on Anesthesia and Neurotoxicity Research (4 papers), Cardiac Ischemia and Reperfusion (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Sheng Hu collaborates with scholars based in China, Taiwan and Israel. Sheng Hu's co-authors include Lize Xiong, Hailong Dong, Qianzi Yang, Xin Peng, Wenwu Xie, Peng Zhu, Jinsong Zhang, Shiquan Wang, Lichao Hou and Shaoyang Chen and has published in prestigious journals such as Brain Research, Pain and Neuroscience.

In The Last Decade

Sheng Hu

28 papers receiving 664 citations

Peers

Sheng Hu
Comparison fields: 5 of 106
  • Artificial Intelligence 197
  • Pathology and Forensic Medicine 196
  • Developmental Neuroscience 175
  • Computer Vision and Pattern Recognition 118
  • Molecular Biology 74
Replace Shubao Liu with:
Shubao Liu United States
Baoliang Zhang China
Fuhua Chen United States
Dimitrios Tsalikakis Greece
В. В. Крылов Russia
Ye Cai China
Yuchen Zhang Canada
Jiong Wu China
Zhenhuan Wang China
Nan Mu China
Shubao Liu United States View profile →
Citations per field, relative to Sheng Hu
Sheng Hu · 1×
Citations per year, relative to Sheng Hu
Sheng Hu · 1×

Countries citing papers authored by Sheng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Hu. A scholar is included among the top collaborators of Sheng Hu 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 Sheng Hu. Sheng Hu 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 2
2 9
3 20
4 5
5 4
6 3
7 6
8 34
9 10
10 16
11 7
12 0
13 110
14 6
15 75
16 14
17 73
18 34
19
[Experimental study of evaluation on neuroprotective effect for tetramethylpyrazine against focal cerebral ischemic injury with diffusion-weighted magnetic resonance imaging].
1
20 1

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