Caiming Xiong

Caiming Xiong is a researcher affiliated with Co-founder, Stealth Startup, specializing in AI & Machine Learning. Their work has been cited 79,150 times. This profile visualizes their global influence, highlighting strong citation networks in CN.

AI & Machine Learning

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0i10-index

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Co-founder, Stealth Startup•

Google Scholar

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Caiming Xiong's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 79,150
Citing Countries: 1

As of April 2026.

Caiming Xiong has an h-index of 1 and 79,150 total citations across 1 publication, with research cited by institutions in 1 country.

Global Impact Map

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

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Top Citing Countries(Limited)

China(CN)

Top Citing Institutions(Limited)

Peking University

PandaVilla Tech Limited

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 1 of 1 countries (4 total citations).

Scholar

Caiming Xiong

China

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
Bin Lin
7.0
Peking University
China· Cited your work 1 time
IndependentTop institution
#2
Yang Ye
7.0
Peking University
China· Cited your work 1 time
IndependentTop institution
#3
Jiaxi Cui
6.5
PandaVilla Tech Limited
· Cited your work 1 time
IndependentDiversifies geography
#4
Bin Zhu
7.0
Peking University
China· 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.