Hu Guan

565 citations
50 papers · 379 · h-index 9

Impact in

Papers in

Hu Guan

40 papers receiving 363 citations

Peers

Hu Guan
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 187
  • Information Systems 98
  • Media Technology 33
  • Artificial Intelligence 111
  • Computer Graphics and Computer-Aided Design 9
Replace Lee Howes with:
Lee Howes United Kingdom
Yuwang Wang China
Jack Purdum United States
Daesung Kwon South Korea
Lipeng Wan United States
Eng Kiong Wong Malaysia
Changjia Chen China
Giovanni Di Crescenzo United States
Trong-Thuc Hoang Japan
Xuechang Ren China
Hu Guan relative to Lee Howes United Kingdom Lee Howes's profile →
Citations per field
00.5×10×15×20.5×
Lee Howes · 1×
Citations per year

Countries citing papers authored by Hu Guan

Since Specialization
Citations

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

Fields of papers citing papers by Hu Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hu Guan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hu Guan Line = papers co-authored together Hu Guan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200982
2 201978
3 200824
4 201018
5 202317
6 201117
7 201216
8 201415
9 201014
10 20218
11 20108
12 20117
13 20257
14 20126
15 20185
16 20205
17 20224
18 20254
19 20184
20 20083

About Hu Guan

Hu Guan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering, Information Systems and Artificial Intelligence, having authored 50 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (25 papers), Digital Media Forensic Detection (16 papers), Chaos-based Image/Signal Encryption (13 papers), Pulsed Power Technology Applications (5 papers), Digital Rights Management and Security (3 papers), Text and Document Classification Technologies (3 papers), Electromagnetic Launch and Propulsion Technology (3 papers) and Electrostatic Discharge in Electronics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Information Systems (98 citations), Media Technology (33 citations), Artificial Intelligence (111 citations) and Computer Graphics and Computer-Aided Design (9 citations). Hu Guan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Minyi Guo, Shuwu Zhang, Jingyu Zhou, Baoning Niu, Jie Liu, Fuchang Lin, Feilong Tang, Li Cai, Ning Liu and Minglu Li. Their work appears in journals such as IEEE Transactions on Plasma Science, Chemical Engineering Journal, Information Sciences, Journal of Colloid and Interface Science and IEEE Transactions on Dielectrics and Electrical Insulation.

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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