Hui Ding

445 citations
32 papers · 298 · h-index 10

Impact in

Papers in

Hui Ding

30 papers receiving 291 citations

Peers

Hui Ding
Comparison fields: 5 of 64
  • Computer Networks and Communications 112
  • Reproductive Medicine 34
  • Public Health, Environmental and Occupational Health 58
  • Information Systems 48
  • Hardware and Architecture 13
Replace Yu-Fan Lin with:
Yu-Fan Lin Taiwan
Hideki Ando Japan
Jennifer Y. Tong United States
Nuno Carvalho Portugal
Amrita Mukherjee India
Hong Ding China
Ibrahima Niang Senegal
Jinli Li China
Ankit Jaiswal India
Liang‐Kai Wang Taiwan
Hui Ding relative to Yu-Fan Lin Taiwan Yu-Fan Lin's profile →
Citations per field
00.5×
Yu-Fan Lin · 1×
Citations per year

Countries citing papers authored by Hui Ding

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201258
2 201242
3 200731
4 201225
5 200819
6 202319
7 201314
8 201311
9 201410
10 20249
11 20229
12 20129
13
[Establishment of recipient mouse model of stem cell transplantation into testicular seminiferous tubules and improvement of transplantation techniques].
20094
14 20144
15 20124
16 20213
17 20133
18 20243
19 20243
20 20023

About Hui Ding

Hui Ding is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology, Information Systems and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 298 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Software-Defined Networks and 5G (4 papers), Advanced Optical Network Technologies (4 papers), Renal and related cancers (3 papers), Advanced Photonic Communication Systems (3 papers), Distributed and Parallel Computing Systems (3 papers), Reproductive Biology and Fertility (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Computer Networks and Communications (112 citations), Reproductive Medicine (34 citations), Public Health, Environmental and Occupational Health (58 citations), Information Systems (48 citations) and Hardware and Architecture (13 citations). Hui Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Byrav Ramamurthy, Yi Pan, Lingge Jiang, Chen He, Junke Zheng, Hui Z. Sheng, Lingling Zhang, Wei Zhang, Zheng Li and Zuping He. Their work appears in journals such as Developmental Dynamics, Cell Research, Frontiers in Cellular and Infection Microbiology, IEEE Communications Letters and Clinical Gastroenterology and Hepatology.

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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