Chen Jing

607 citations
34 papers · 347 · h-index 8

Impact in

Papers in

    • Natural Language Processing Techniques 5
    • Topic Modeling 3
    • Semantic Web and Ontologies 2
    • Advanced Computational Techniques and Applications 2
    • Educational Technology and Assessment 2

Chen Jing

24 papers receiving 333 citations

Peers

Chen Jing
Comparison fields: 5 of 89
  • Pollution 56
  • Geochemistry and Petrology 20
  • Materials Chemistry 133
  • Artificial Intelligence 73
  • Plant Science 75
Replace Simon Tanner with:
Simon Tanner United Kingdom
Richa Sharma India
Shivani Sharma India
Maria T. Gallardo‐Williams United States
Yongquan Yan China
Héctor Durán-Muñoz Mexico
Harvinder Singh India
Ziwang Zhao China
Muhammad Nazar Indonesia
Chen Jing relative to Simon Tanner United Kingdom Simon Tanner's profile →
Citations per field
00.5×3.3×
Simon Tanner · 1×
Citations per year

Countries citing papers authored by Chen Jing

Since Specialization
Citations

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

Fields of papers citing papers by Chen Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 202083
3 201859
4 202031
5 202111
6 20119
7 20177
8 20137
9 20205
10 20183
11 20083
12 20253
13 20213
14
Teaching Reform on C Language Bogramming Experiment
20082
15 20192
16 20122
17 20192
18 20231
19 20051
20 20231

About Chen Jing

Chen Jing is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 34 papers that have together received 347 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers), Educational Technology and Assessment (2 papers), Semantic Web and Ontologies (2 papers), Advanced Computational Techniques and Applications (2 papers), Heavy metals in environment (2 papers), Advanced Vision and Imaging (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Pollution (56 citations), Geochemistry and Petrology (20 citations), Materials Chemistry (133 citations), Artificial Intelligence (73 citations) and Plant Science (75 citations). Chen Jing has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhongzhou Yang, Li Wang, Tingting You, Xiang Gao, Yang Zhang, Yifan Xiao, Ying Gao, Xiao Hu, Xin Liu and Buzhou Tang. Their work appears in journals such as Journal of Imaging Science and Technology, International Journal of Environmental Research and Public Health, Multimedia Systems, International Journal of Nursing Practice and Applied Intelligence.

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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