Liya Ding

5.5k citations
71 papers · 2.3k · 1 hit paper · h-index 16

Impact in

  • Biophysics top 0.5%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Cellular Mechanics and Interactions
    • Skin and Cellular Biology Research
    • Microtubule and mitosis dynamics

Papers in

Liya Ding

67 papers receiving 2.3k citations

Liya Ding's Hit Papers

CellProfiler 3.0: Next-generation image processing for biology 2018 · 1.2k citations
1.2k0+2+5Years since publication4008001.2k

Peers

Liya Ding
Comparison fields: 5 of 154
  • Biophysics 481
  • Cell Biology 442
  • Developmental Neuroscience 93
  • Media Technology 129
  • Structural Biology 20
Replace Fons J. Verbeek with:
Fons J. Verbeek Netherlands
D. Mark Eckley United States
Ge Yang China
Bill Hill United Kingdom
Allen Goodman United States
Matheus P. Viana Brazil
Shantanu Singh United States
Andrew R. Cohen United States
Minh Doan United States
B. S. Manjunath United States
Liya Ding relative to Fons J. Verbeek Netherlands Fons J. Verbeek's profile →
Citations per field
00.5×3.7×
Fons J. Verbeek · 1×
Citations per year

Countries citing papers authored by Liya Ding

Since Specialization
Citations

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

Fields of papers citing papers by Liya Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CellProfiler 3.0: Next-generation image processing for biology
Hit paper breakdown →
20181204
2 2016170
3 2011121
4 2017101
5 201091
6 201081
7 201567
8 200953
9 198937
10 200836
11 201330
12 201522
13 202221
14 201721
15 200918
16 202215
17 201015
18 201915
19 201813
20 202311

About Liya Ding

Liya Ding is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Biophysics and Molecular Biology, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (14 papers), Fuzzy Logic and Control Systems (13 papers), AI-based Problem Solving and Planning (9 papers), Neural Networks and Applications (8 papers), Cell Image Analysis Techniques (8 papers), Advanced Algebra and Logic (6 papers), Multi-Criteria Decision Making (6 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Biophysics (481 citations), Cell Biology (442 citations), Developmental Neuroscience (93 citations), Media Technology (129 citations) and Structural Biology (20 citations). Liya Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Aleix M. Martı́nez, Winfried Wiegraebe, Claire McQuin, Tim Becker, Lee Kamentsky, Juan Carlos Caicedo, Vasiliy S. Chernyshev, Minh Doan, Beth A. Cimini and Susanne M. Rafelski. Their work appears in journals such as Bioinformatics, Fuzzy Sets and Systems, Journal of Visualized Experiments, International Journal of Approximate Reasoning and Proceedings of the National Academy of Sciences.

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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