Chengbin Wang

834 citations
30 papers · 610 · h-index 13

Impact in

    • Geochemistry and Geologic Mapping
    • Topic Modeling
    • Semantic Web and Ontologies
    • Advanced Graph Neural Networks
    • Remote-Sensing Image Classification

Papers in

Chengbin Wang

29 papers receiving 599 citations

Peers

Chengbin Wang
Comparison fields: 5 of 88
  • Artificial Intelligence 441
  • Media Technology 111
  • Geochemistry and Petrology 63
  • Geography, Planning and Development 43
  • Environmental Engineering 72
Replace Qinjun Qiu with:
Qinjun Qiu China
Daniel Wedge Australia
Warick Brown Australia
Runyu Fan China
Liufeng Tao China
Weijing Song China
Yuxuan Li China
Kai Ma China
Chaoling Li China
Dan Mandl United States
Chengbin Wang relative to Qinjun Qiu China Qinjun Qiu's profile →
Citations per field
00.5×10×16×
Qinjun Qiu · 1×
Citations per year

Countries citing papers authored by Chengbin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengbin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017163
2 201281
3 201844
4 202042
5 202039
6 201435
7 201325
8 201724
9 201723
10 202218
11 202216
12 201014
13 202213
14 202212
15 20189
16 20117
17 20216
18 20226
19 20245
20 20165

About Chengbin Wang

Chengbin Wang is a scholar working on Artificial Intelligence, Media Technology, Molecular Biology, Geochemistry and Petrology and Geography, Planning and Development, having authored 30 papers that have together received 610 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (16 papers), Remote-Sensing Image Classification (7 papers), Semantic Web and Ontologies (6 papers), Geographic Information Systems Studies (5 papers), Biomedical Text Mining and Ontologies (5 papers), Geological Modeling and Analysis (4 papers), Geological and Geochemical Analysis (3 papers) and Nuclear physics research studies (3 papers). The work is most often cited by research in Artificial Intelligence (441 citations), Media Technology (111 citations), Geochemistry and Petrology (63 citations), Geography, Planning and Development (43 citations) and Environmental Engineering (72 citations). Chengbin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianguo Chen, Xiaogang Ma, Jingwen Chen, Fan Xiao, Yongpeng Ouyang, Zhenyu Zhang, Frederik P. Agterberg, Chao Ma, J. Mallikharjuna Rao and Zhongzhou Ren. Their work appears in journals such as Ore Geology Reviews, Computers & Geosciences, Journal of Geochemical Exploration, Nuclear Physics A and Natural Resources Research.

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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