Bonan Min

2.4k citations
46 papers · 1.3k · 1 hit paper · h-index 13

Impact in

Papers in

Bonan Min

43 papers receiving 1.2k citations

Bonan Min's Hit Papers

Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey 2023 · 644 citations
6440+1+2Years since publication200400600

Peers

Bonan Min
Comparison fields: 5 of 111
  • Health Informatics 43
  • Artificial Intelligence 889
  • Information Systems 305
  • Management Science and Operations Research 104
  • Computer Networks and Communications 164
Replace Stephen H. Bach with:
Stephen H. Bach United States
Michihiro Yasunaga United States
Cunxiang Wang China
Kaijie Zhu China
Xiaoyuan Yi China
Zhengxiao Du China
Ting Liu China
Yunfan Shao China
Minsuk Kahng United States
Bonan Min relative to Stephen H. Bach United States Stephen H. Bach's profile →
Citations per field
00.5×3.8×
Stephen H. Bach · 1×
Citations per year

Countries citing papers authored by Bonan Min

Since Specialization
Citations

This map shows the geographic impact of Bonan Min's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bonan Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bonan Min more than expected).

Fields of papers citing papers by Bonan Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bonan Min. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bonan Min. The network helps show where Bonan Min may publish in the future.

Co-authors

The 25 scholars most cited alongside Bonan Min, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bonan Min Line = papers co-authored together Bonan Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
Hit paper breakdown →
2023644
2
Sybil-resilient online content voting
2009179
3
Distant Supervision for Relation Extraction with an Incomplete Knowledge Base
2013136
4 201434
5
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network
201729
6 201228
7
New York University 2011 system for KBP slot filling
201126
8 202220
9 202219
10 202117
11
New York University 2012 System for KBP Slot Filling
201216
12 202114
13
New York University KBP 2010 Slot-Filling System.
201013
14 201212
15 202010
16 20209
17 20218
18 20227
19 20126
20 20246

About Bonan Min

Bonan Min is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Vision and Pattern Recognition and Molecular Biology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (38 papers), Natural Language Processing Techniques (32 papers), Data Quality and Management (13 papers), Semantic Web and Ontologies (5 papers), Software Engineering Research (4 papers), Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (4 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Health Informatics (43 citations), Artificial Intelligence (889 citations), Information Systems (305 citations), Management Science and Operations Research (104 citations) and Computer Networks and Communications (164 citations). Bonan Min has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Thien Huu Nguyen, Amir Pouran Ben Veyseh, Eneko Agirre, Oscar Sainz, Hayley Ross, Ralph Grishman, Elior Sulem, Dan Roth, Ilana Heintz and Jinyang Li. Their work appears in journals such as Language Resources and Evaluation, International Journal on Semantic Web and Information Systems, Proceedings of the ACM on Programming Languages, ACM Computing Surveys and North American Chapter of the Association for Computational Linguistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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