Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al): h-index, Total Citations, and Citation Map
Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al)'s h-index is 76 (428 i10-index, 24,788+ total citations across 890+ publications) according to Google Scholar as of June 2026. Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al) is affiliated with Nantong University(Stanford’s World's Top 2% Researcher,Full Professor, Ph.D, IEEE Senior Member).
Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al) is a researcher affiliated with Nantong University(Stanford’s World's Top 2% Researcher,Full Professor, Ph.D, IEEE Senior Member), specializing in Granular Data Mining, Deep Neural Networks, Machine Learning for Human-Centred Computing. Their work has been cited 24,788 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al)'s Citation Metrics
Bibliometric impact based on 890 indexed publications. Of these, 1 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 76
- i10-Index
- 428
- Total Citations
- 24,788
- Citing Countries
- 8
As of June 2026.
Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al) has an h-index of 76 and 24,788 total citations across 890 publications, with research cited by institutions in 8 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al)'s citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 24,788 citations for Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al)
We've shown the most-cited 5,000. Unlock the full crawl (24,738 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
A review of clustering techniques and developments
20171,908
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al)'s research
Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al) is a researcher in Granular Data Mining, Deep Neural Networks and Machine Learning for Human-Centred Computing at Nantong University(Stanford’s World's Top 2% Researcher,Full Professor, Ph.D, IEEE Senior Member). Their work has been cited 24,788 times across 890 publications (h-index 76), according to Google Scholar.
Their most-cited work, “A review of clustering techniques and developments” (2017), has accumulated 1,908 citations. Other influential works include “From corrective to predictive maintenance—A review of maintenance approaches for the power industry” (2023) with 428 citations and “Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review” (2023) with 359 citations.
Citations of Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al)'s research come primarily from China, United States and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











