Sewon Min

Sewon Min is a researcher affiliated with UC Berkeley EECS & Allen Institute for AI, specializing in AI & Machine Learning. Their work has been cited 19,599 times. This profile visualizes their global influence, highlighting strong citation networks in CN.

AI & Machine Learning

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UC Berkeley EECS & Allen Institute for AI•

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Sewon Min's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 19,599
Citing Countries: 5

As of April 2026.

Sewon Min has an h-index of 1 and 19,599 total citations across 1 publication, with research cited by institutions in 5 countries.

Global Impact Map

Visualizing the geographic distribution of institutions that have cited your work.

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Top Citing Countries(Limited)

China(CN)

United States(US)

Hong Kong(HK)

France(FR)

Singapore(SG)

Top Citing Institutions(Limited)

Answer.AI

Tongji University

The Hong Kong Polytechnic University

Fudan University

LightOn

Johns Hopkins University

Baidu Inc.

National University of Singapore

NVIDIA

Hugging Face

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.

Citer Influence Network

Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 5 of 5 countries (32 total citations).

Scholar

Sewon Min

325

China

United States

Hong Kong

France

Singapore

React Flow

Letter of Support — Candidate Recommenders

Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.

#1
Wenqi Fan
7.0
The Hong Kong Polytechnic University
Hong Kong· Cited your work 1 time
IndependentTop institution
#2
Yujuan Ding
7.0
The Hong Kong Polytechnic University
Hong Kong· Cited your work 1 time
IndependentTop institution
#3
Yun Xiong
8.5
Fudan University
China· Cited your work 1 time
IndependentTop institutionDiversifies geography
#4
Xinyu Gao
8.5
Fudan University
China· Cited your work 1 time
IndependentTop institutionDiversifies geography
#5
Faisal Ladhak
8.5
NVIDIA
United States· Cited your work 1 time
IndependentTop institutionDiversifies geography
#6
Orion Weller
8.5
Johns Hopkins University
United States· Cited your work 1 time
IndependentTop institutionDiversifies geography
#7
Tat-Seng Chua
8.5
National University of Singapore
Singapore· Cited your work 1 time
IndependentTop institutionDiversifies geography
#8
Antoine Chaffin
6.5
LightOn
France· Cited your work 1 time
IndependentDiversifies geography
#9
Said Taghadouini
6.5
LightOn
France· Cited your work 1 time
IndependentDiversifies geography
#10
Liangbo Ning
7.0
The Hong Kong Polytechnic University
Hong Kong· Cited your work 1 time
IndependentTop institution

Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.

Cited by 5 papers

5 / 5 independent

Citations flagged as non-independent share the scholar's home institution (Facebook AI). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.

(title pending — citation is still being processed)
· cites “Dense Passage Retrieval for Open-Domain Question Answering”
(title pending — citation is still being processed)
· cites “Dense Passage Retrieval for Open-Domain Question Answering”
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller + 10 more
63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)· cites “Dense Passage Retrieval for Open-Domain Question Answering”
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Dawei Yin, Yujuan Ding, Wenqi Fan, Liangbo Ning + 4 more
30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)· cites “Dense Passage Retrieval for Open-Domain Question Answering”
Retrieval-Augmented Generation for Large Language Models: A Survey
Yun Xiong, Yuxi Bi, Yi Dai, Jiawei Sun + 6 more
Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)· cites “Dense Passage Retrieval for Open-Domain Question Answering”

Top Cited Works(Showing 1 of 1)

Dense Passage Retrieval for Open-Domain Question Answering

2020 • 6660 Citations

Published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Sewon Min

Sewon Min's Citation Metrics

Global Impact Map

Top Citing Countries(Limited)

Top Citing Institutions(Limited)

Visa Evidence Package

Citer Influence Network

Letter of Support — Candidate Recommenders

Cited by 5 papers

Top Cited Works(Showing 1 of 1)

Dense Passage Retrieval for Open-Domain Question Answering

Citation Trend (Last 10 Years)

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