Chaoling Li

756 citations
45 papers · 526 · h-index 11

Impact in

Papers in

Chaoling Li

43 papers receiving 517 citations

Peers

Chaoling Li
Comparison fields: 5 of 85
  • Geochemistry and Petrology 212
  • Geology 36
  • Geography, Planning and Development 29
  • Geophysics 59
  • Computer Graphics and Computer-Aided Design 16
Replace Hua Xu with:
Hua Xu China
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Xiaohui Li China
Xialin Zhang China
Xinchuan Li China
Yandong Wang China
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Abdul Mateen Pakistan
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Chaoling Li relative to Hua Xu China Hua Xu's profile →
Citations per field
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Hua Xu · 1×
Citations per year

Countries citing papers authored by Chaoling Li

Since Specialization
Citations

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

Fields of papers citing papers by Chaoling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chaoling Li, 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 Chaoling Li Line = papers co-authored together Chaoling Li 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 201367
2 202165
3 202157
4 201545
5 202233
6 201731
7 202030
8 201727
9 201627
10 201421
11 202312
12 202210
13 20159
14 20149
15 20178
16 20128
17 20177
18 20247
19 20136
20
Big data application architecture and key technologies of intelligent geological survey
20155

About Chaoling Li

Chaoling Li is a scholar working on Artificial Intelligence, Geochemistry and Petrology, Computer Networks and Communications, Information Systems and Strategy and Management, having authored 45 papers that have together received 526 indexed citations. Recurring topics across this work include Geological Modeling and Analysis (16 papers), Advanced Computational Techniques and Applications (11 papers), Cryptography and Data Security (5 papers), Supply Chain Resilience and Risk Management (5 papers), Cloud Data Security Solutions (5 papers), Distributed and Parallel Computing Systems (5 papers), Sustainable Supply Chain Management (4 papers) and Geographic Information Systems Studies (4 papers). The work is most often cited by research in Geochemistry and Petrology (212 citations), Geology (36 citations), Geography, Planning and Development (29 citations), Geophysics (59 citations) and Computer Graphics and Computer-Aided Design (16 citations). Chaoling Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiateng Guo, Lixin Wu, Fengdan Li, Mark Jessell, Jiangmei Wang, Shanjun Liu, Pei Yao, Nan Wang, Pei Li and Wenhui Zhou. Their work appears in journals such as PLoS ONE, Frontiers in Public Health, ISPRS International Journal of Geo-Information, Symmetry and Frontiers in Sustainable Food Systems.

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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