Jiaqi Wang: h-index, Total Citations, and Citation Map
Jiaqi Wang's h-index is 61 (108 i10-index, 29,712+ total citations across 141+ publications) according to Google Scholar as of September 2026. Jiaqi Wang is affiliated with JD.Com | Shanghai Innovation Institute (SII).
Jiaqi Wang is a researcher affiliated with JD.Com | Shanghai Innovation Institute (SII), specializing in Computer Vision, Multi-modal Learning, VLM. Their work has been cited 29,712 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jiaqi Wang's Citation Metrics
Bibliometric impact based on 141 indexed publications.
- H-Index
- 61
- i10-Index
- 108
- Total Citations
- 29,712
- Citing Countries
- 58
As of September 2026.
Jiaqi Wang has an h-index of 61 and 29,712 total citations across 141 publications, with research cited by institutions in 58 countries.
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Global Impact Map
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MMDetection: Open mmlab detection toolbox and benchmark
20194,734
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
14 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational open-source object detection framework and advanced end-to-end detection and long-tailed segmentation methods, driving widespread independent adoption in computer vision.
The researcher established a comprehensive benchmark for evaluating the all-around capabilities of multi-modal models, providing a critical standard for assessing holistic performance in the field.
The researcher developed MMDetection, an open-source object detection toolbox and benchmark that has become a widely adopted standard in the computer vision community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jiaqi Wang's research
Jiaqi Wang is a researcher in Computer Vision, Multi-modal Learning and VLM at JD.Com | Shanghai Innovation Institute (SII). Their work has been cited 29,712 times across 141 publications (h-index 61), according to Google Scholar.
Their most-cited work, “MMDetection: Open mmlab detection toolbox and benchmark” (2019), has accumulated 4,734 citations. Other influential works include “Mmbench: Is your multi-modal model an all-around player?” (2024) with 2,725 citations and “Hybrid task cascade for instance segmentation” (2019) with 2,053 citations.
Citations of Jiaqi Wang'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.
