Haiping Wu

58 total papers · 504 total citations
37 papers, 365 citations indexed

About

Haiping Wu is a scholar working on Molecular Biology, Biomedical Engineering and Ecology. According to data from OpenAlex, Haiping Wu has authored 37 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Biomedical Engineering and 4 papers in Ecology. Recurrent topics in Haiping Wu's work include Advanced biosensing and bioanalysis techniques (16 papers), Biosensors and Analytical Detection (11 papers) and CRISPR and Genetic Engineering (7 papers). Haiping Wu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (16 papers), Biosensors and Analytical Detection (11 papers) and CRISPR and Genetic Engineering (7 papers). Haiping Wu collaborates with scholars based in China and Japan. Haiping Wu's co-authors include Guohua Zhou, Tomoharu Kajiyama, Bingjie Zou, Hideki Kambara, Qinxin Song, Yanan Chu, Chao Liang, Yinjiao Ma, Zhiyao Chen and Shijia Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Chemical Communications.

In The Last Decade

Haiping Wu

36 papers receiving 357 citations

Author Peers

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

Author Last Decade Papers Cites
Haiping Wu 296 168 49 35 30 37 365
Juan Yao 179 0.6× 91 0.5× 38 0.8× 21 0.6× 11 0.4× 43 338
В. В. Власов 207 0.7× 53 0.3× 36 0.7× 33 0.9× 43 1.4× 48 349
Igor P. Oscorbin 259 0.9× 146 0.9× 40 0.8× 60 1.7× 56 1.9× 32 358
Andrey Gorshkov 162 0.5× 68 0.4× 25 0.5× 28 0.8× 45 1.5× 49 368
Jiaxuan Li 197 0.7× 48 0.3× 29 0.6× 38 1.1× 24 0.8× 67 396
Ali Jafarpour 117 0.4× 79 0.5× 41 0.8× 21 0.6× 83 2.8× 21 382
Inchul Yang 226 0.8× 92 0.5× 19 0.4× 32 0.9× 16 0.5× 25 382
Pattamawadee Yanatatsaneejit 261 0.9× 79 0.5× 26 0.5× 10 0.3× 41 1.4× 20 359
Yao Geng 280 0.9× 167 1.0× 39 0.8× 25 0.7× 26 0.9× 14 384
Apolonija Bedina Zavec 235 0.8× 65 0.4× 33 0.7× 19 0.5× 26 0.9× 27 354

Countries citing papers authored by Haiping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haiping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Wu

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