Haining Fan

864 citations
53 papers · 612 · h-index 14

Impact in

Papers in

Haining Fan

50 papers receiving 584 citations

Peers

Haining Fan
Comparison fields: 5 of 46
  • Information Systems 396
  • Applied Mathematics 144
  • Computational Theory and Mathematics 199
  • Artificial Intelligence 400
  • Computational Mathematics 3
Replace Jürgen Eichenauer‐Herrmann with:
Jürgen Eichenauer‐Herrmann Germany
Anatolij A. Karatsuba Russia
Y. N. Lakshman United States
Wenying Feng Canada
Juliano B. Lima Brazil
Ali Zamani Iran
Éric Schost Canada
Sven Buchholz Germany
Tateaki Sasaki Japan
David Harvey Australia
Haining Fan relative to Jürgen Eichenauer‐Herrmann Germany Jürgen Eichenauer‐Herrmann's profile →
Citations per field
00.5×10×20×30×40×50×
Jürgen Eichenauer‐Herrmann · 1×
Citations per year

Countries citing papers authored by Haining Fan

Since Specialization
Citations

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

Fields of papers citing papers by Haining Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200784
2 200566
3 201057
4 200638
5 200732
6 201925
7 201524
8 200724
9 201422
10 200817
11 201516
12 201416
13 201514
14 201413
15 201613
16 201212
17 201310
18 20089
19 20029
20 20069

About Haining Fan

Haining Fan is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Artificial Intelligence, Information Systems and Signal Processing, having authored 53 papers that have together received 612 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (27 papers), Advanced Mathematical Modeling in Engineering (23 papers), Coding theory and cryptography (17 papers), Cryptography and Residue Arithmetic (17 papers), Nonlinear Differential Equations Analysis (11 papers), Cryptography and Data Security (6 papers), Polynomial and algebraic computation (5 papers) and Numerical methods in engineering (4 papers). The work is most often cited by research in Information Systems (396 citations), Applied Mathematics (144 citations), Computational Theory and Mathematics (199 citations), Artificial Intelligence (400 citations) and Computational Mathematics (3 citations). Haining Fan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include M.A. Hasan, Yiqi Dai, Xiaochun Liu, Musong Gu, Jiaguang Sun, Kwok‐Yan Lam, Xi Xiong, Yaohua Xu, Xiaoyun Wang and Ying Guo. Their work appears in journals such as IEEE Transactions on Computers, Electronics Letters, Mathematical Methods in the Applied Sciences, Journal of Mathematical Analysis and Applications and IET Information Security.

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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