Shiwei Ye

754 citations
41 papers · 304 · h-index 10

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Advanced Fluorescence Microscopy Techniques

Papers in

Shiwei Ye

34 papers receiving 298 citations

Peers

Shiwei Ye
Comparison fields: 5 of 106
  • Aging 29
  • Biophysics 23
  • Computer Science Applications 20
  • Rehabilitation 25
  • Artificial Intelligence 67
Replace Forest Agostinelli with:
Forest Agostinelli United States
Qingying Chen China
Hanchao Yu China
Álvaro J. García‐Tejedor Spain
Muhaini Othman Malaysia
Xiaojun Chen China
Matija Marolt Slovenia
Sunho Lee South Korea
Kevin Ellis United States
Shiwei Ye relative to Forest Agostinelli United States Forest Agostinelli's profile →
Citations per field
00.5×3.3×
Forest Agostinelli · 1×
Citations per year

Countries citing papers authored by Shiwei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shiwei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 202025
3 201923
4 201222
5 201321
6
Alternating Recursive Method for Q-matrix Learning.
201417
7 202216
8 202214
9 201611
10 20199
11 20198
12 20197
13 20236
14 20206
15 20156
16 20145
17 20205
18 20024
19 20074
20 20163

About Shiwei Ye

Shiwei Ye is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 41 papers that have together received 304 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Online Learning and Analytics (4 papers), Educational Technology and Assessment (3 papers), Advanced Decision-Making Techniques (3 papers), Advanced Neural Network Applications (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Ion channel regulation and function (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Aging (29 citations), Biophysics (23 citations), Computer Science Applications (20 citations), Rehabilitation (25 citations) and Artificial Intelligence (67 citations). Shiwei Ye has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Yi Sun, Yuan Sun, Shi‐Qing Cai, Fang Fang, Wanqi Liang, Malcolm J. Bennett, Jiankang Wu, Zhi‐Yang Liu, Hongxing Wei and Jiang‐An Yin. Their work appears in journals such as iScience, Optics Express, Nature Communications, Nature and APL Photonics.

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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