Dingkang Liang: h-index, Total Citations, and Citation Map
Dingkang Liang's h-index is 25 (37 i10-index, 3,135+ total citations across 53+ publications) according to Google Scholar as of June 2026. Dingkang Liang is affiliated with Huazhong University of Science and Technology.
Dingkang Liang is a researcher affiliated with Huazhong University of Science and Technology, specializing in various fields. Their work has been cited 3,135 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Dingkang Liang's Citation Metrics
Bibliometric impact based on 53 indexed publications.
- H-Index
- 25
- i10-Index
- 37
- Total Citations
- 3,135
- Citing Countries
- 49
As of June 2026.
Dingkang Liang has an h-index of 25 and 3,135 total citations across 53 publications, with research cited by institutions in 49 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Dingkang Liang's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
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.
Pointmamba: A simple state space model for point cloud analysis
2024462
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 Dingkang Liang's research
Dingkang Liang is a researcher at Huazhong University of Science and Technology. Their work has been cited 3,135 times across 53 publications (h-index 25), according to Google Scholar.
Their most-cited work, “Pointmamba: A simple state space model for point cloud analysis” (2024), has accumulated 462 citations. Other influential works include “Transcrowd: weakly-supervised crowd counting with transformers” (2022) with 330 citations and “An end-to-end transformer model for crowd localization” (2022) with 260 citations.
Citations of Dingkang Liang's research come primarily from China, United States and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
