Mingsheng Long Google Scholar: h-index, Total Citations, and Citation Map
Mingsheng Long's h-index is 90 (143 i10-index, 74,710+ total citations across 167+ publications) according to Google Scholar as of October 2026. Mingsheng Long is affiliated with Associate Professor, Tsinghua University.
Mingsheng Long is a researcher affiliated with Associate Professor, Tsinghua University, specializing in various fields. Their work has been cited 74,710 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Mingsheng Long's Citation Metrics
Bibliometric impact based on 167 indexed publications.
- H-Index
- 90
- i10-Index
- 143
- Total Citations
- 74,710
- Citing Countries
- 58
As of October 2026.
Mingsheng Long has an h-index of 90 and 74,710 total citations across 167 publications, with research cited by institutions in 58 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Mingsheng Long'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.
Learning Transferable Features with Deep Adaptation Networks
20157,996
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 Mingsheng Long's research
Mingsheng Long is a researcher at Associate Professor, Tsinghua University. Their work has been cited 74,710 times across 167 publications (h-index 90), according to Google Scholar.
Their most-cited work, “Learning Transferable Features with Deep Adaptation Networks” (2015), has accumulated 7,996 citations. Other influential works include “Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting” (2021) with 7,646 citations and “TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis” (2023) with 4,976 citations.
Citations of Mingsheng Long'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.











