Jing Gao

342 total papers · 6.5k total citations
119 papers, 3.9k citations indexed

About

Jing Gao is a scholar working on Artificial Intelligence, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jing Gao has authored 119 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 30 papers in Global and Planetary Change and 13 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jing Gao's work include Anomaly Detection Techniques and Applications (19 papers), Data Stream Mining Techniques (16 papers) and Land Use and Ecosystem Services (15 papers). Jing Gao is often cited by papers focused on Anomaly Detection Techniques and Applications (19 papers), Data Stream Mining Techniques (16 papers) and Land Use and Ecosystem Services (15 papers). Jing Gao collaborates with scholars based in United States, China and Switzerland. Jing Gao's co-authors include Brian C. O’Neill, Jiawei Han, Wei Fan, Mohammad Mehedy Masud, Latifur Khan, Bhavani Thuraisingham, Jiawei Han, Lucang Wang, Philip S. Yu and Jing Jiang and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Jing Gao

113 papers receiving 3.8k citations

Hit Papers

Mapping global urban land... 2020 2026 2022 2024 2020 2024 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jing Gao 1.8k 941 511 475 417 119 3.9k
Bin Gao 1.0k 0.6× 802 0.9× 271 0.5× 222 0.5× 483 1.2× 104 3.8k
Stephan R. Sain 2.0k 1.1× 1.4k 1.5× 180 0.4× 229 0.5× 454 1.1× 86 7.2k
Yee Leung 1.5k 0.9× 891 0.9× 192 0.4× 252 0.5× 642 1.5× 167 6.8k
Max Henrion 1.2k 0.7× 703 0.7× 140 0.3× 264 0.6× 113 0.3× 54 5.1k
Ryosuke Shibasaki 885 0.5× 931 1.0× 302 0.6× 214 0.5× 392 0.9× 460 7.1k
Zhengtong Yin 791 0.4× 522 0.6× 269 0.5× 264 0.6× 76 0.2× 62 3.4k
Guonian Lü 448 0.3× 1.2k 1.3× 233 0.5× 213 0.4× 339 0.8× 158 3.9k
Stefano Ermon 1.2k 0.7× 1.0k 1.1× 293 0.6× 87 0.2× 265 0.6× 141 6.5k
G. V. Loganathan 2.2k 1.2× 355 0.4× 391 0.8× 189 0.4× 145 0.3× 63 5.9k
Chaowei Yang 640 0.4× 673 0.7× 873 1.7× 129 0.3× 1.1k 2.5× 185 4.3k

Countries citing papers authored by Jing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Gao. A scholar is included among the top collaborators of Jing Gao 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 Jing Gao. Jing Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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