Enriching Word Vectors with Subword Information
2017 • 15546 Citations
Published in Transactions of the Association for Computational Linguistics
Piotr Bojanowski
Piotr Bojanowski is a researcher affiliated with Meta FAIR, specializing in AI & Machine Learning. Their work has been cited 75,049 times. This profile visualizes their global influence, highlighting strong citation networks in US.
AI & Machine Learning
Unlock Full Map — Pro tier (10K–100K citations)
One-time payment. Full data, CSV export, and embed code.
Viewing Limited Data
Showing up to 10 papers and top 10 citing sources. Upgrade to see all 1 paper and complete citation data.
Piotr Bojanowski's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 75,049
- Citing Countries
- 7
As of April 2026.
Piotr Bojanowski has an h-index of 1 and 75,049 total citations across 1 publication, with research cited by institutions in 7 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Marker
Color
Loading map
Top Citing Countries(Limited)
United States(US)
9United States(US)
9France(FR)
7China(CN)
5Australia(AU)
2Singapore(SG)
1India(IN)
1Top Citing Institutions(Limited)
Lehigh University
9Meta
5Beihang University
4Michigan State University
3Macquarie University
2University of Illinois at Chicago
2Meta, Kyutai
1Dr. B. R. Ambedkar National Institute of Technology Jalandhar
1Nanyang Technological University
1Duke University
1Visa 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 7 of 7 countries (34 total citations).
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
Philip S. Yu
9.0University of Illinois at Chicago
United States· Cited your work 2 times
IndependentTop institutionMulti-cite - #2
Lichao Sun
7.0Lehigh University
United States· Cited your work 2 times
IndependentMulti-cite - #3
Jeff Johnson
7.0Meta
France· Cited your work 1 time
IndependentTop institution - #4
Maria Lomeli
7.0Meta
France· Cited your work 1 time
IndependentTop institution - #5
Ce Zhou
7.0Michigan State University
USA· Cited your work 1 time
IndependentTop institution - #6
Qiben Yan
7.0Michigan State University
USA· Cited your work 1 time
IndependentTop institution - #7
Ziwei Liu
8.5Nanyang Technological University
Singapore· Cited your work 1 time
IndependentTop institutionDiversifies geography - #8
Jun Yu
7.0University of Science and Technology of China
China· Cited your work 1 time
IndependentTop institution - #9
Pranjal Kumar
8.5Dr. B. R. Ambedkar National Institute of Technology Jalandhar
India· Cited your work 1 time
IndependentTop institutionDiversifies geography - #10
Hao Peng
5.0Beihang University
China· Cited your work 1 time
Independent
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
Philip S. Yu, Yihan Cao, Siyu Li, Yixin Liu + 3 more
arXiv· cites “Enriching Word Vectors with Subword Information”
Philip S. Yu, Yixin Liu, Lichao Sun, Ce Zhou + 15 more
International Journal of Machine Learning and Cybernetics (IJMLC)· cites “Enriching Word Vectors with Subword Information”
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson + 5 more
IEEE Transactions on Big Data (IEEE TBD)· cites “Enriching Word Vectors with Subword Information”
· cites “Enriching Word Vectors with Subword Information”
Pranjal Kumar
Artificial Intelligence Review· cites “Enriching Word Vectors with Subword Information”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Insufficient data
0 citations
15,546 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
'16
'18
'20
'22
'24
'26
Related Guides
Learn how to use citation maps for your research and visa applications.