Chonglong Wu

540 citations
38 papers · 414 · h-index 13

Impact in

Papers in

Chonglong Wu

37 papers receiving 408 citations

Peers

Chonglong Wu
Comparison fields: 5 of 75
  • Geography, Planning and Development 62
  • Geochemistry and Petrology 50
  • Geology 35
  • Management, Monitoring, Policy and Law 56
  • Artificial Intelligence 133
Replace Venkatesh Raghavan with:
Venkatesh Raghavan Japan
Jibo Xie China
Peter Woodgate Australia
Baoxuan Jin China
M. Molenaar Netherlands
Xuesheng Zhao China
Tapani Sarjakoski Finland
Denisa Rodila Romania
Martien Molenaar Netherlands
Chonglong Wu relative to Venkatesh Raghavan Japan Venkatesh Raghavan's profile →
Citations per field
00.5×1.5×1.8×
Venkatesh Raghavan · 1×
Citations per year

Countries citing papers authored by Chonglong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chonglong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201167
2 201045
3 201135
4 201125
5 201024
6 201523
7 200022
8 201720
9 200218
10 201917
11 201614
12 201614
13 201012
14 20099
15 20118
16 20166
17 20126
18 20085
19 20204
20 20134

About Chonglong Wu

Chonglong Wu is a scholar working on Geochemistry and Petrology, Artificial Intelligence, Information Systems, Geography, Planning and Development and Mechanics of Materials, having authored 38 papers that have together received 414 indexed citations. Recurring topics across this work include Geological Modeling and Analysis (15 papers), Advanced Computational Techniques and Applications (10 papers), Geographic Information Systems Studies (9 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Service-Oriented Architecture and Web Services (4 papers), Remote Sensing and Land Use (4 papers), Data Management and Algorithms (4 papers) and Geochemistry and Geologic Mapping (3 papers). The work is most often cited by research in Geography, Planning and Development (62 citations), Geochemistry and Petrology (50 citations), Geology (35 citations), Management, Monitoring, Policy and Law (56 citations) and Artificial Intelligence (133 citations). Chonglong Wu has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Kai Xu, Chunfang Kong, Xiaogang Ma, Emmanuel John M. Carranza, F.D. van der Meer, Gang Liu, Liqin Zhang, Jiangfeng Li, Xiaoping Mao and Gang Liu. Their work appears in journals such as Computers & Geosciences, IEEE Access, Journal of Earth Science, Progress in Physical Geography Earth and Environment and Earth and Space Science.

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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