Haijun Fu

742 citations
30 papers · 533 · h-index 13

Impact in

Papers in

Haijun Fu

28 papers receiving 526 citations

Peers

Haijun Fu
Comparison fields: 5 of 112
  • Analytical Chemistry 114
  • Periodontics 39
  • Aging 14
  • Biophysics 27
  • Genetics 42
Replace Riccardo Monterubbianesi with:
Riccardo Monterubbianesi Italy
Mónica Maribel Mata-Miranda Mexico
Gustavo Jesús Vázquez-Zapién Mexico
Giulia Orilisi Italy
Philippe Humbert France
Maria Crişan Romania
Alexandra Roi Romania
Qin Ye China
Ping Huang China
Haijun Fu relative to Riccardo Monterubbianesi Italy Riccardo Monterubbianesi's profile →
Citations per field
00.5×8.1×
Riccardo Monterubbianesi · 1×
Citations per year

Countries citing papers authored by Haijun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haijun Fu, 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 Fu Line = papers co-authored together Haijun Fu 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 2021132
2 201862
3 201944
4 202334
5 200633
6 202230
7 202227
8 202026
9 202524
10 201718
11 202316
12 202015
13 202313
14 202211
15 20238
16 20258
17 20118
18 20235
19 20234
20
China's Striking Anti-Corruption Adventure: A Political Journey Towards the Rule of Law?
20163

About Haijun Fu

Haijun Fu is a scholar working on Biomedical Engineering, Analytical Chemistry, Molecular Biology, Aging and Control and Systems Engineering, having authored 30 papers that have together received 533 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (8 papers), Advanced Chemical Sensor Technologies (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Alzheimer's disease research and treatments (3 papers), Autophagy in Disease and Therapy (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Medicinal Plants and Neuroprotection (2 papers) and Water Quality Monitoring and Analysis (2 papers). The work is most often cited by research in Analytical Chemistry (114 citations), Periodontics (39 citations), Aging (14 citations), Biophysics (27 citations) and Genetics (42 citations). Haijun Fu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiaohong Wu, Bin Wu, Shuheng Huang, Wei Qin, Zhengmei Lin, Chunxia Dai, Haoxiang Zhou, Shuhong Kuang, Zongshan Shen and Feng He. Their work appears in journals such as Foods, Journal of Food Process Engineering, Journal of Food Processing and Preservation, Energies and Advanced Science.

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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