Yue Feng

53 total papers · 774 total citations
35 papers, 502 citations indexed

About

Yue Feng is a scholar working on Environmental Engineering, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yue Feng has authored 35 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 12 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Yue Feng's work include Microbial Applications in Construction Materials (13 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (6 papers). Yue Feng is often cited by papers focused on Microbial Applications in Construction Materials (13 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (6 papers). Yue Feng collaborates with scholars based in China, United States and Singapore. Yue Feng's co-authors include Wangmeng Zuo, David Zhang, Xiangming Hu, Hang Li, Yan Wang, Mingming Sun, Yanyun Zhao, Miao Fan, Qingshan Wang and Yu Liu and has published in prestigious journals such as Chemical Engineering Journal, Construction and Building Materials and IEEE Access.

In The Last Decade

Yue Feng

33 papers receiving 489 citations

Author Peers

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

Author Last Decade Papers Cites
Yue Feng 171 167 162 75 73 35 502
Saravanan Chandran 52 0.3× 68 0.4× 287 1.8× 82 1.1× 28 0.4× 59 570
Dong Xu 40 0.2× 74 0.4× 62 0.4× 48 0.6× 121 1.7× 37 574
Ruber Hernández-García 51 0.3× 87 0.5× 94 0.6× 12 0.2× 26 0.4× 46 453
Tirupathiraju Kanumuri 83 0.5× 95 0.6× 78 0.5× 79 1.1× 32 0.4× 51 507
Wang Fang 47 0.3× 144 0.9× 175 1.1× 57 0.8× 23 0.3× 30 530
Farmanullah Jan 244 1.4× 17 0.1× 154 1.0× 61 0.8× 153 2.1× 31 548
Yuqing Yang 62 0.4× 137 0.8× 68 0.4× 48 0.6× 24 0.3× 27 569
Jing Xie 125 0.7× 72 0.4× 36 0.2× 12 0.2× 191 2.6× 36 614
Usman M. Gana 32 0.2× 158 0.9× 36 0.2× 30 0.4× 37 0.5× 22 511
Jinze Liu 36 0.2× 264 1.6× 82 0.5× 14 0.2× 66 0.9× 46 483

Countries citing papers authored by Yue Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yue Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Feng. A scholar is included among the top collaborators of Yue Feng 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 Yue Feng. Yue Feng 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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