Chengjun Wu

904 citations
70 papers · 652 · h-index 14

Impact in

Papers in

Chengjun Wu

62 papers receiving 635 citations

Peers

Chengjun Wu
Comparison fields: 5 of 97
  • Electronic, Optical and Magnetic Materials 108
  • Polymers and Plastics 74
  • Organic Chemistry 138
  • Electrical and Electronic Engineering 232
  • Catalysis 28
Replace Keisuke Tanaka with:
Keisuke Tanaka Japan
Sachin Verma India
L. Pohl Hungary
Wu Gao China
Sudipto Datta India
Hiroki Yamashita Japan
Sangil Choi South Korea
Chaoran Huang Hong Kong
Guifang Cheng China
Chengjun Wu relative to Keisuke Tanaka Japan Keisuke Tanaka's profile →
Citations per field
00.5×7.3×
Keisuke Tanaka · 1×
Citations per year

Countries citing papers authored by Chengjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chengjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chengjun Wu, 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 Chengjun Wu Line = papers co-authored together Chengjun Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201471
2 201753
3 198750
4 202343
5 201738
6 198924
7 200422
8 202421
9 200620
10 201718
11 201717
12 202217
13 202314
14 201914
15 202112
16 202212
17 202110
18 202110
19 20239
20 20049

About Chengjun Wu

Chengjun Wu is a scholar working on Electrical and Electronic Engineering, Organic Chemistry, Molecular Biology, Materials Chemistry and Biomedical Engineering, having authored 70 papers that have together received 652 indexed citations. Recurring topics across this work include Synthesis and biological activity (6 papers), Organic Light-Emitting Diodes Research (6 papers), Neural Networks and Applications (6 papers), Luminescence and Fluorescent Materials (6 papers), Advanced Memory and Neural Computing (5 papers), Computational Drug Discovery Methods (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Nonlinear Optical Materials Research (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (108 citations), Polymers and Plastics (74 citations), Organic Chemistry (138 citations), Electrical and Electronic Engineering (232 citations) and Catalysis (28 citations). Chengjun Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include E. E. Kunhardt, Tiemin Sun, Linwei Li, Chuluo Yang, Youming Zhang, Jingsheng Miao, Jingping Wang, Zhen Li, Zhiqiang Wang and Changshan Sun. Their work appears in journals such as Organic Process Research & Development, Molecules, Journal of Molecular Liquids, Journal of Molecular Structure and Journal of Computational Physics.

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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