Guang Chen

401 total citations
35 papers, 232 citations indexed

About

Guang Chen is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guang Chen has authored 35 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guang Chen's work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Photonic and Optical Devices (6 papers). Guang Chen is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Photonic and Optical Devices (6 papers). Guang Chen collaborates with scholars based in China, Australia and United Kingdom. Guang Chen's co-authors include Jun Guo, Si Li, Zhiqing Lin, Weijie Bian, Yang Zhao, Weiran Xu, Zhanyu Ma, Xiaoxu Li, Jen‐Tzung Chien and Weiran Xu and has published in prestigious journals such as IEEE Access, Sensors and Neurocomputing.

In The Last Decade

Guang Chen

26 papers receiving 216 citations

Peers

Guang Chen
Comparison fields: 5 of 65
  • Artificial Intelligence 149
  • Information Systems 79
  • Computer Vision and Pattern Recognition 66
  • Statistical and Nonlinear Physics 18
  • Media Technology 15
Replace Huafeng Liu with:
Huafeng Liu China
Hiroyuki Shinnou Japan
Md Abul Bashar Australia
Michele Trevisiol Spain
Yangyang Wu China
Hiroaki Ohshima Japan
Thibaut Thonet France
Zhongfei Mark Zhang United States
Suriya Gunasekar United States
Eréndira Rendón Mexico
Huafeng Liu China View profile →
Citations per field, relative to Guang Chen
Guang Chen · 1×
Citations per year, relative to Guang Chen
Guang Chen · 1×

Countries citing papers authored by Guang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Chen. A scholar is included among the top collaborators of Guang Chen 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 Guang Chen. Guang Chen 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 0
5 0
6 0
7 2
8 0
9 13
10 12
11 2
12 43
13 1
14 1
15
PRIS at TREC2012 Contextual Suggestion Track
0
16
PRIS at TREC 2010 Blog Track: Faceted Blog Distillation
2
17
PRIS at TREC 2010: Related Entity Finding Task of Entity Track
3
18
BUPT at TREC 2009: Entity Track
4
19
A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track
3
20 5

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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