Haichang Fu

24 total papers · 603 total citations
20 papers, 471 citations indexed

About

Haichang Fu is a scholar working on Polymers and Plastics, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Haichang Fu has authored 20 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Polymers and Plastics, 7 papers in Organic Chemistry and 7 papers in Materials Chemistry. Recurrent topics in Haichang Fu's work include Conducting polymers and applications (13 papers), Transition Metal Oxide Nanomaterials (10 papers) and Polydiacetylene-based materials and applications (5 papers). Haichang Fu is often cited by papers focused on Conducting polymers and applications (13 papers), Transition Metal Oxide Nanomaterials (10 papers) and Polydiacetylene-based materials and applications (5 papers). Haichang Fu collaborates with scholars based in China, Hong Kong and Russia. Haichang Fu's co-authors include Cheng Zhang, Weijun Li, Yujie Dong, Ling Zhang, Shuanma Yan, Mi Ouyang, Zhangxin Chen, Yanxian Jin, Tao Yang and Binbin Yu and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and Electrochimica Acta.

In The Last Decade

Haichang Fu

18 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
Haichang Fu 326 211 117 73 66 20 471
Yuki Koizumi 194 0.6× 288 1.4× 108 0.9× 71 1.0× 138 2.1× 17 530
Xueqing Tang 270 0.8× 281 1.3× 112 1.0× 28 0.4× 122 1.8× 13 510
Jen‐Lien Lin 296 0.9× 268 1.3× 207 1.8× 45 0.6× 33 0.5× 20 525
Baige Yang 366 1.1× 211 1.0× 115 1.0× 47 0.6× 21 0.3× 11 469
Jaehyun Bae 174 0.5× 204 1.0× 135 1.2× 33 0.5× 34 0.5× 18 406
Burak Gültekin 230 0.7× 263 1.2× 190 1.6× 46 0.6× 173 2.6× 27 521
Aiman Rahmanudin 217 0.7× 329 1.6× 160 1.4× 40 0.5× 158 2.4× 26 506
Jiaoyi Ning 208 0.6× 306 1.5× 125 1.1× 29 0.4× 47 0.7× 25 433
M. S. Dharmaprakash 150 0.5× 245 1.2× 226 1.9× 37 0.5× 67 1.0× 21 464
Christina J. Kousseff 258 0.8× 305 1.4× 109 0.9× 27 0.4× 32 0.5× 21 446

Countries citing papers authored by Haichang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Haichang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haichang Fu

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