Hong‐Chen Fu

39 papers receiving 822 citations

Peers

Hong‐Chen Fu
Comparison fields: 5 of 56
  • Process Chemistry and Technology 198
  • Algebra and Number Theory 194
  • Geometry and Topology 282
  • Statistical and Nonlinear Physics 223
  • Inorganic Chemistry 153
Replace Hideki Omori with:
Hideki Omori Japan
Yoshihiro Takeyama Japan
Daniel Lenz Germany
J. A. Brooke Canada
А. П. Садовский Belarus
R Le Blanc United States
Nicola Durante Italy
Maria Axenovich United States
Kazuya Katô Japan
Christian Schilling Germany
Hong‐Chen Fu relative to Hideki Omori Japan Hideki Omori's profile →
Citations per field
00.5×6.8×
Hideki Omori · 1×
Citations per year

Countries citing papers authored by Hong‐Chen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Chen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989245
2 2017198
3 200245
4
Maximal Entanglement of Nonorthogonal States: Classification
200137
5 201731
6 199627
7 199624
8 200224
9 202022
10 199020
11 199719
12 201818
13 200016
14 200012
15 199712
16 199211
17 20179
18 19918
19 20018
20 19906

About Hong‐Chen Fu

Hong‐Chen Fu is a scholar working on Geometry and Topology, Algebra and Number Theory, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 40 papers that have together received 849 indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (18 papers), Advanced Topics in Algebra (16 papers), Nonlinear Waves and Solitons (11 papers), Quantum Information and Cryptography (10 papers), Advanced Algebra and Geometry (5 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Black Holes and Theoretical Physics (2 papers). The work is most often cited by research in Process Chemistry and Technology (198 citations), Algebra and Number Theory (194 citations), Geometry and Topology (282 citations), Statistical and Nonlinear Physics (223 citations) and Inorganic Chemistry (153 citations). Hong‐Chen Fu has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Chang-Pu Sun, Xiaofang Liu, Chang Qiao, Liang‐Nian He, Ryu Sasaki, Allan I. Solomon, Mo‐Lin Ge, Xiaoguang Wang, Xiaoguang Wang and Yongzheng Zhang. Their work appears in journals such as BMC Cardiovascular Disorders, Physics Letters A, Journal of the Physical Society of Japan, Physical Review A and New Journal of Chemistry.

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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