Faming Gong

743 citations
45 papers · 456 · h-index 11

Impact in

Papers in

Faming Gong

39 papers receiving 442 citations

Peers

Faming Gong
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 120
  • Safety, Risk, Reliability and Quality 52
  • Gastroenterology 22
  • Signal Processing 35
  • Computer Networks and Communications 62
Replace Inzamam Mashood Nasir with:
Inzamam Mashood Nasir Pakistan
Ming Zheng China
Guangwei Zhang China
Muhammad Junaid Khan Pakistan
Liping Zheng China
Yongliang Shen China
Baojie Fan China
Zhibin Li China
Mahua Bhattacharya India
Feng Xue China
Faming Gong relative to Inzamam Mashood Nasir Pakistan Inzamam Mashood Nasir's profile →
Citations per field
00.5×8.6×
Inzamam Mashood Nasir · 1×
Citations per year

Countries citing papers authored by Faming Gong

Since Specialization
Citations

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

Fields of papers citing papers by Faming Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Faming Gong, 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 Faming Gong Line = papers co-authored together Faming Gong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201954
2 201651
3 201649
4 201738
5 201832
6 201632
7 201926
8 199726
9 201317
10 202112
11 202012
12 202310
13 20239
14 20209
15 20188
16 20108
17 20135
18 20155
19 20095
20 20244

About Faming Gong

Faming Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Ocean Engineering, having authored 45 papers that have together received 456 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Video Surveillance and Tracking Methods (4 papers), Petroleum Processing and Analysis (3 papers), Seismic Imaging and Inversion Techniques (3 papers), Oil and Gas Production Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Safety, Risk, Reliability and Quality (52 citations), Gastroenterology (22 citations), Signal Processing (35 citations) and Computer Networks and Communications (62 citations). Faming Gong has collaborated with scholars based in China, Malaysia and Spain. Frequent co-authors include Tao Song, Wenjuan Gong, Weishan Zhang, Pan Zheng, Xun Wang, Dehai Zhao, Xingyi Zhang, Xiyu Liu, Yuzhen Zhao and C. Paul Swain. Their work appears in journals such as Sensors, International Journal of Machine Learning and Cybernetics, Scientific Reports, Electronics and Gastrointestinal Endoscopy.

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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