Yi Ding

3.2k citations
137 papers · 2.3k · h-index 25

Impact in

  • Neurology top 1%
    • Brain Tumor Detection and Classification
    • Advanced Neural Network Applications
    • Medical Image Segmentation Techniques
    • Optical measurement and interference techniques
    • Chaos-based Image/Signal Encryption

Papers in

Yi Ding

122 papers receiving 2.2k citations

Peers

Yi Ding
Comparison fields: 5 of 136
  • Neurology 517
  • Computer Vision and Pattern Recognition 1.1k
  • Media Technology 241
  • Radiology, Nuclear Medicine and Imaging 380
  • Health Informatics 23
Replace Xiaopeng Zhang with:
Xiaopeng Zhang China
Shihui Ying China
Vasileios Belagiannis Germany
Roland Kwitt Austria
Nabil Ibtehaz Bangladesh
Syamsiah Mashohor Malaysia
Chenyang Xu United States
Yinghuan Shi China
J. Shin United States
Yi Ding relative to Xiaopeng Zhang China Xiaopeng Zhang's profile →
Citations per field
00.5×2.7×
Xiaopeng Zhang · 1×
Citations per year

Countries citing papers authored by Yi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015174
2 2019153
3 2021120
4 202398
5 202095
6 202380
7 201174
8 201971
9 202165
10 201562
11 201760
12 202051
13 201649
14 202248
15 201248
16 201745
17 202144
18 202043
19 201937
20 202136

About Yi Ding

Yi Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 137 papers that have together received 2.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (24 papers), Brain Tumor Detection and Classification (21 papers), Advanced Neural Network Applications (20 papers), Optical measurement and interference techniques (16 papers), Image Processing Techniques and Applications (15 papers), Advanced Vision and Imaging (13 papers), Digital Holography and Microscopy (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Neurology (517 citations), Computer Vision and Pattern Recognition (1.1k citations), Media Technology (241 citations), Radiology, Nuclear Medicine and Imaging (380 citations) and Health Informatics (23 citations). Yi Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiguang Qin, Tian Lan, Zhen Qin, Jiangtao Xi, Kim‐Kwang Raymond Choo, Zhen Qin, Yanguang Yu, Mingsheng Cao, Benpeng Zhu and Shunyao Luan. Their work appears in journals such as Neurocomputing, Technology in Cancer Research & Treatment, Frontiers in Oncology, Physics in Medicine and Biology and Pattern Recognition.

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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