Haijun Wan

24 papers receiving 1.3k citations

Peers

Haijun Wan
Comparison fields: 5 of 58
  • Catalysis 959
  • Process Chemistry and Technology 84
  • Mechanical Engineering 741
  • Biomedical Engineering 695
  • Materials Chemistry 707
Replace Senzi Li with:
Senzi Li United States
В. П. Пахарукова Russia
Mohammad Nurunnabi Japan
Adam Chojecki Netherlands
Biing‐Jye Liaw Taiwan
Tigran Margossian Switzerland
C. Mirodatos France
Usman Oemar Singapore
Matthew S. Shannon United States
Kongyong Liew China
Haijun Wan relative to Senzi Li United States Senzi Li's profile →
Citations per field
00.5×1.5×2.2×
Senzi Li · 1×
Citations per year

Countries citing papers authored by Haijun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007128
2 2006118
3 2007118
4 2012114
5 2006111
6 201395
7 201278
8 200772
9 200769
10 201268
11 200651
12 200648
13 200646
14 200745
15 201644
16 200732
17 200828
18 200521
19 200718
20 200717

About Haijun Wan

Haijun Wan is a scholar working on Catalysis, Mechanical Engineering, Biomedical Engineering, Materials Chemistry and Renewable Energy, Sustainability and the Environment, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Catalysts for Methane Reforming (20 papers), Catalysis and Hydrodesulfurization Studies (17 papers), Catalysis for Biomass Conversion (14 papers), Catalytic Processes in Materials Science (7 papers), Electrocatalysts for Energy Conversion (5 papers), Cancer-related cognitive impairment studies (2 papers), Zeolite Catalysis and Synthesis (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Catalysis (959 citations), Process Chemistry and Technology (84 citations), Mechanical Engineering (741 citations), Biomedical Engineering (695 citations) and Materials Chemistry (707 citations). Haijun Wan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongwang Li, Hongwei Xiang, Chenghua Zhang, Raghunath V. Chaudhari, Bala Subramaniam, Baoshan Wu, Xia An, Yong Yang, Zhichao Tao and Tingzhen Li. Their work appears in journals such as Catalysis Communications, CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION), Catalysis Letters, Journal of Catalysis and Industrial & Engineering Chemistry 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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