Haike Yan

3.3k citations
108 papers · 3.0k · h-index 34

Impact in

Papers in

Haike Yan

106 papers receiving 2.9k citations

Peers

Haike Yan
Comparison fields: 5 of 104
  • Filtration and Separation 239
  • Physical and Theoretical Chemistry 608
  • Organic Chemistry 1.9k
  • Catalysis 353
  • Fluid Flow and Transfer Processes 226
Replace Ganzuo Li with:
Ganzuo Li China
Animesh Kumar Rakshit India
Bengt Kronberg Sweden
Ian R. Dunkin United Kingdom
Hironobu Kunieda Japan
C. Manohar India
Hans Schott United States
Kenjiro Meguro Japan
Sandra Rondinini Italy
Kenji Aramaki Japan
Haike Yan relative to Ganzuo Li China Ganzuo Li's profile →
Citations per field
00.5×1.5×
Ganzuo Li · 1×
Citations per year

Countries citing papers authored by Haike Yan

Since Specialization
Citations

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

Fields of papers citing papers by Haike Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003175
2 2001125
3 2006102
4 2005100
5 200186
6 200484
7 200282
8 200579
9 199775
10 199974
11 199672
12 200372
13 200567
14 200563
15 199958
16 201557
17 200256
18 199856
19 200451
20 200549

About Haike Yan

Haike Yan is a scholar working on Organic Chemistry, Biomedical Engineering, Spectroscopy, Physical and Theoretical Chemistry and Fluid Flow and Transfer Processes, having authored 108 papers that have together received 3.0k indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (49 papers), Phase Equilibria and Thermodynamics (37 papers), Analytical Chemistry and Chromatography (26 papers), Thermodynamic properties of mixtures (20 papers), Chemical Thermodynamics and Molecular Structure (16 papers), Spectroscopy and Quantum Chemical Studies (14 papers), Photochemistry and Electron Transfer Studies (14 papers) and Ionic liquids properties and applications (13 papers). The work is most often cited by research in Filtration and Separation (239 citations), Physical and Theoretical Chemistry (608 citations), Organic Chemistry (1.9k citations), Catalysis (353 citations) and Fluid Flow and Transfer Processes (226 citations). Haike Yan has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Buxing Han, Robert K. Thomas, Yilin Wang, Jinben Wang, Guangyue Bai, Peixun Li, Xiaoyong Wang, Jie Ke, Zhixin Li and Jan C. T. Kwak. Their work appears in journals such as Langmuir, Journal of Colloid and Interface Science, The Journal of Physical Chemistry B, The Journal of Supercritical Fluids and Fluid Phase Equilibria.

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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