Kejing Wu

66 total papers · 2.0k total citations
50 papers, 1.1k citations indexed

About

Kejing Wu is a scholar working on Biomedical Engineering, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, Kejing Wu has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 17 papers in Mechanical Engineering and 9 papers in Molecular Biology. Recurrent topics in Kejing Wu's work include Catalysis for Biomass Conversion (23 papers), Catalysis and Hydrodesulfurization Studies (17 papers) and Lignin and Wood Chemistry (13 papers). Kejing Wu is often cited by papers focused on Catalysis for Biomass Conversion (23 papers), Catalysis and Hydrodesulfurization Studies (17 papers) and Lignin and Wood Chemistry (13 papers). Kejing Wu collaborates with scholars based in China, Switzerland and United States. Kejing Wu's co-authors include Yulong Wu, Mingde Yang, Yanchun Shi, Enhui Xing, Houfang Lu, Bin Liang, Jianlong Wang, Yingying Liu, Junmei Liang and Shaobin Huang and has published in prestigious journals such as Nature Communications, Chemical Communications and Journal of Cleaner Production.

In The Last Decade

Kejing Wu

48 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Kejing Wu	652	468	171	146	86	50	1.1k
Lin Wei	716 1.1×	454 1.0×	177 1.0×	178 1.2×	43 0.5×	44	1.2k
Fang Hu	332 0.5×	525 1.1×	159 0.9×	149 1.0×	74 0.9×	50	1.2k
Jiazhi Chen	547 0.8×	239 0.5×	197 1.2×	88 0.6×	79 0.9×	33	932
Jin Gong	300 0.5×	240 0.5×	180 1.1×	247 1.7×	24 0.3×	86	1.2k
Thien Tran	261 0.4×	231 0.5×	136 0.8×	67 0.5×	37 0.4×	38	866
Zihao Ma	237 0.4×	203 0.4×	285 1.7×	95 0.7×	66 0.8×	51	820
Mengjuan Zhang	243 0.4×	200 0.4×	245 1.4×	276 1.9×	109 1.3×	65	1.2k
Xiaoxue Hou	442 0.7×	117 0.3×	332 1.9×	162 1.1×	28 0.3×	34	809
Elham Karimi	285 0.4×	239 0.5×	182 1.1×	186 1.3×	39 0.5×	61	1.1k
Yichen Dong	368 0.6×	170 0.4×	235 1.4×	94 0.6×	14 0.2×	46	971

Countries citing papers authored by Kejing Wu

Since Specialization

Citations

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

Fields of papers citing papers by Kejing Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejing Wu

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