Hu Ding

567 citations
38 papers · 307 · h-index 9

Impact in

Papers in

Hu Ding

32 papers receiving 300 citations

Peers

Hu Ding
Comparison fields: 5 of 69
  • Computer Science Applications 111
  • Transportation 38
  • Artificial Intelligence 123
  • Computer Graphics and Computer-Aided Design 9
  • Organizational Behavior and Human Resource Management 20
Replace Ali Yürekli with:
Ali Yürekli Türkiye
Andrei Tamilin Italy
Caihua Shan China
Su Deng China
Zhicong Huang Switzerland
Meiyu Lu Singapore
Yueheng Sun China
Jiarui Qin China
Liangda Li United States
Mariam Daoud France
Hu Ding relative to Ali Yürekli Türkiye Ali Yürekli's profile →
Citations per field
00.5×6.7×
Ali Yürekli · 1×
Citations per year

Countries citing papers authored by Hu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Hu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015120
2 201424
3 201416
4 201413
5 201412
6 201512
7 201511
8 201710
9 20139
10
K-means clustering with distributed dimensions
20168
11 20168
12 20196
13 20166
14 20145
15 20205
16 20254
17
k-Prototype Learning for 3D Rigid Structures
20134
18 20154
19 20254
20 20234

About Hu Ding

Hu Ding is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Signal Processing and Plant Science, having authored 38 papers that have together received 307 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Data Management and Algorithms (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Facility Location and Emergency Management (5 papers), Robotics and Sensor-Based Localization (4 papers), Computational Geometry and Mesh Generation (4 papers), Advanced Clustering Algorithms Research (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Computer Science Applications (111 citations), Transportation (38 citations), Artificial Intelligence (123 citations), Computer Graphics and Computer-Aided Design (9 citations) and Organizational Behavior and Human Resource Management (20 citations). Hu Ding has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jinhui Xu, Jing Gao, Lü Su, Wenjun Jiang, Yaliang Li, Chuishi Meng, Yun Cheng, Ronald Berezney, Sambit Bhattacharya and Andrew J. Fritz. Their work appears in journals such as Algorithmica, Human Molecular Genetics, Industrial Crops and Products, Journal of Computer and System Sciences and Theoretical Computer 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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