Zhang Bi

62 total papers · 777 total citations
28 papers, 713 citations indexed

About

Zhang Bi is a scholar working on Health, Toxicology and Mutagenesis, Geochemistry and Petrology and Artificial Intelligence. According to data from OpenAlex, Zhang Bi has authored 28 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 4 papers in Geochemistry and Petrology and 4 papers in Artificial Intelligence. Recurrent topics in Zhang Bi's work include Mercury impact and mitigation studies (10 papers), Toxic Organic Pollutants Impact (4 papers) and Coal and Its By-products (3 papers). Zhang Bi is often cited by papers focused on Mercury impact and mitigation studies (10 papers), Toxic Organic Pollutants Impact (4 papers) and Coal and Its By-products (3 papers). Zhang Bi collaborates with scholars based in China, United States and Mexico. Zhang Bi's co-authors include Guangqian Luo, Hong Yao, Ping Xu, Xiaobo Zeng, Minghou Xu, Hui Wu, Jingjing Ma, Xu Yang, Yu Qiao and Ping Sun and has published in prestigious journals such as Environmental Science & Technology, Chemical Engineering Journal and Fuel.

In The Last Decade

Zhang Bi

28 papers receiving 705 citations

Author Peers

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

Author Last Decade Papers Cites
Zhang Bi 426 178 159 138 107 28 713
Ping Xu 296 0.7× 176 1.0× 207 1.3× 110 0.8× 115 1.1× 37 808
Zengqiang Tan 382 0.9× 345 1.9× 167 1.1× 144 1.0× 53 0.5× 33 838
Wei Hong-qi 448 1.1× 168 0.9× 207 1.3× 105 0.8× 108 1.0× 26 641
Hancai Zeng 447 1.0× 210 1.2× 213 1.3× 148 1.1× 158 1.5× 24 846
Sooridarsan Krishnan 273 0.6× 143 0.8× 71 0.4× 206 1.5× 57 0.5× 21 840
Wen Xu 493 1.2× 304 1.7× 311 2.0× 123 0.9× 89 0.8× 19 800
Tianfang Huang 363 0.9× 325 1.8× 129 0.8× 60 0.4× 90 0.8× 29 771
Chuan He 444 1.0× 318 1.8× 292 1.8× 84 0.6× 96 0.9× 22 748
S. Behrooz Ghorishi 613 1.4× 156 0.9× 125 0.8× 50 0.4× 146 1.4× 15 735
Renjie Zou 267 0.6× 182 1.0× 195 1.2× 58 0.4× 114 1.1× 46 718

Countries citing papers authored by Zhang Bi

Since Specialization
Citations

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

Fields of papers citing papers by Zhang Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhang Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhang Bi. A scholar is included among the top collaborators of Zhang Bi 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 Zhang Bi. Zhang Bi 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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2026