Lei Zhang: h-index, Total Citations, and Citation Map
Lei Zhang's h-index is 107 (305 i10-index, 76,650+ total citations across 467+ publications) according to Google Scholar as of September 2026. Lei Zhang is affiliated with International Digital Economy Academy (IDEA).
Lei Zhang is a researcher affiliated with International Digital Economy Academy (IDEA), specializing in Computer Vision, Multimedia, Machine Learning. Their work has been cited 76,650 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Lei Zhang's Citation Metrics
Bibliometric impact based on 467 indexed publications.
- H-Index
- 107
- i10-Index
- 305
- Total Citations
- 76,650
- Citing Countries
- 74
As of September 2026.
Lei Zhang has an h-index of 107 and 76,650 total citations across 467 publications, with research cited by institutions in 74 countries.
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Global Impact Map
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Bottom-up and top-down attention for image captioning and visual question answering
20187,018
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.
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.
946 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced object detection by introducing dynamic anchor boxes as superior queries, a framework subsequently extended to open-set detection and diverse visual tasks.
The researcher pioneered object-semantics aligned pre-training for vision-language tasks, establishing a foundational framework that subsequent work extended to visual representations and high-resolution encoding.
The researcher pioneered grounded language-image pre-training, establishing a foundational framework for open-vocabulary perception that has been widely adopted and extended by the independent computer vision community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Lei Zhang's research
Lei Zhang is a researcher in Computer Vision, Multimedia and Machine Learning at International Digital Economy Academy (IDEA). Their work has been cited 76,650 times across 467 publications (h-index 107), according to Google Scholar.
Their most-cited work, “Bottom-up and top-down attention for image captioning and visual question answering” (2018), has accumulated 7,018 citations. Other influential works include “Are transformers effective for time series forecasting?” (2023) with 5,994 citations and “Grounding DINO: Marrying DINO with grounded pre-training for open-set object detection” (2024) with 5,548 citations.
Citations of Lei Zhang's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
