Haifeng Chen

641 citations
30 papers · 559 · h-index 12

Impact in

Papers in

Haifeng Chen

27 papers receiving 537 citations

Peers

Haifeng Chen
Comparison fields: 5 of 93
  • Computational Theory and Mathematics 273
  • Drug Discovery 1
  • Biochemistry 24
  • Analytical Chemistry 26
  • Organic Chemistry 71
Replace Andrew G. Mercader with:
Andrew G. Mercader Argentina
Angelica Mazzolari Italy
Mario Dimayuga United States
Viktor Drgan Slovenia
Sandra B. Šegan Serbia
Antonio Chana Spain
Sanjay Kapur United States
Mehmet Aziz Yirik Germany
Suresh Babu Mekapati United States
Ilenia Giangreco United Kingdom
Haifeng Chen relative to Andrew G. Mercader Argentina Andrew G. Mercader's profile →
Citations per field
00.5×1.5×
Andrew G. Mercader · 1×
Citations per year

Countries citing papers authored by Haifeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haifeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004205
2 200566
3 200556
4 201330
5 200422
6 201920
7 200316
8 200315
9 201515
10 201515
11 200513
12 201613
13 200510
14 20039
15 20159
16 20208
17 20057
18 20046
19 20034
20 20034

About Haifeng Chen

Haifeng Chen is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Toxicology, Spectroscopy and Hematology, having authored 30 papers that have together received 559 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Synthesis and biological activity (9 papers), Synthesis and Characterization of Heterocyclic Compounds (5 papers), Mass Spectrometry Techniques and Applications (3 papers), Organoselenium and organotellurium chemistry (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Structural and Chemical Analysis of Organic and Inorganic Compounds (1 paper). The work is most often cited by research in Computational Theory and Mathematics (273 citations), Drug Discovery (1 citation), Biochemistry (24 citations), Analytical Chemistry (26 citations) and Organic Chemistry (71 citations). Haifeng Chen has collaborated with scholars based in China, France and United States. Frequent co-authors include Botao Fan, Annick Doucet Panaye, Xiaojun Yao, Jean Pierre Doucet, Ruisheng Zhang, Mancang Liu, Zhide Hu, Shengang Yuan, Chenyang Zhao and Rongliang Zheng. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Chinese Journal of Chemistry, The Journal of Steroid Biochemistry and Molecular Biology, European Journal of Mass Spectrometry and SAR and QSAR in environmental research.

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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