Zuheng Ming

484 citations
19 papers · 189 · h-index 8

Impact in

Papers in

Zuheng Ming

18 papers receiving 181 citations

Peers

Zuheng Ming
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 118
  • Signal Processing 51
  • Media Technology 14
  • Artificial Intelligence 49
  • Information Systems 23
Replace Muriel Visani with:
Muriel Visani France
Ladislav Lenc Czechia
Jooyoung Lee South Korea
Messaoud Bengherabi Algeria
Yuxiang Jia China
Klemen Grm Slovenia
Georg Thallinger Austria
Sergios Petridis Greece
Yao Sun China
Zuheng Ming relative to Muriel Visani France Muriel Visani's profile →
Citations per field
00.5×1.7×
Muriel Visani · 1×
Citations per year

Countries citing papers authored by Zuheng Ming

Since Specialization
Citations

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

Fields of papers citing papers by Zuheng Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Zuheng Ming, 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 Zuheng Ming Line = papers co-authored together Zuheng Ming links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202036
2 202328
3 202024
4 201817
5 202217
6 202013
7 202212
8 20189
9 20217
10 20246
11 20195
12 20225
13 20253
14 20232
15 20252
16 20251
17 20241
18 20211
19 20250

About Zuheng Ming

Zuheng Ming is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Information Systems, having authored 19 papers that have together received 189 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (8 papers), Handwritten Text Recognition Techniques (5 papers), Face recognition and analysis (4 papers), Remote-Sensing Image Classification (3 papers), Biometric Identification and Security (3 papers), Advanced Image Fusion Techniques (2 papers), Infrared Target Detection Methodologies (2 papers) and Digital and Cyber Forensics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (118 citations), Signal Processing (51 citations), Media Technology (14 citations), Artificial Intelligence (49 citations) and Information Systems (23 citations). Zuheng Ming has collaborated with scholars based in France, Spain and Vietnam. Frequent co-authors include Jean-Christophe Burie, Mickaël Coustaty, Muhammad Muzzamil Luqman, Marçal Rusiñol, Muriel Visani, Junshi Xia, Oriol Ramos Terrades, Joseph Chazalon, Zitong Yu and Akira Iwasaki. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition Letters, Multimedia Tools and Applications, Pattern Recognition and Computers in Biology and Medicine.

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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