Hui Tian

2.4k total citations
114 papers, 1.7k citations indexed

About

Hui Tian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hui Tian has authored 114 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 50 papers in Computer Vision and Pattern Recognition and 22 papers in Information Systems. Recurrent topics in Hui Tian's work include Advanced Steganography and Watermarking Techniques (44 papers), Internet Traffic Analysis and Secure E-voting (30 papers) and Digital Media Forensic Detection (27 papers). Hui Tian is often cited by papers focused on Advanced Steganography and Watermarking Techniques (44 papers), Internet Traffic Analysis and Secure E-voting (30 papers) and Digital Media Forensic Detection (27 papers). Hui Tian collaborates with scholars based in China, Taiwan and United States. Hui Tian's co-authors include Yonghong Chen, Yiqiao Cai, Tian Wang, Yongfeng Huang, Chin‐Chen Chang, Jin Liu, Hong Jiang, Ke Zhou, Yuxiang Chen and Jiandian Zeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and IEEE Access.

In The Last Decade

Hui Tian

102 papers receiving 1.6k citations

Peers

Hui Tian
Comparison fields: 5 of 88
  • Artificial Intelligence 926
  • Computer Vision and Pattern Recognition 532
  • Information Systems 508
  • Computer Networks and Communications 343
  • Computational Theory and Mathematics 182
Replace Feng Jiang with:
Feng Jiang China
Junhai Zhai China
Aijia Ouyang China
Yingchi Mao China
Jiangjiang Zhang China
Satyasai Jagannath Nanda India
Jitender Kumar Chhabra India
Changsheng Zhang China
Hesam Izakian Canada
Feng Jiang China View profile →
Citations per field, relative to Hui Tian
Hui Tian · 1×
Citations per year, relative to Hui Tian
Hui Tian · 1×

Countries citing papers authored by Hui Tian

Since Specialization
Citations

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

Fields of papers citing papers by Hui Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Tian. A scholar is included among the top collaborators of Hui Tian 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 Hui Tian. Hui Tian 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 0
4 1
5 0
6 0
7 3
8 0
9 51
10 2
11 20
12 4
13 2
14 3
15 59
16 9
17 4
18 6
19 21
20 17

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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