Lichan Hong

10.6k citations
84 papers · 6.1k · 4 hit papers · h-index 27

Impact in

Papers in

Lichan Hong

80 papers receiving 5.8k citations

Lichan Hong's Hit Papers

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts 2018 · 625 citations
6250+5+10Years since publication50010001.5k2.0k

Peers

Lichan Hong
Comparison fields: 5 of 157
  • Computer Graphics and Computer-Aided Design 476
  • Information Systems 2.8k
  • Computer Vision and Pattern Recognition 1.8k
  • Artificial Intelligence 2.5k
  • Communication 503
Replace Kian‐Lee Tan with:
Kian‐Lee Tan Singapore
Raymond Y.K. Lau Hong Kong
Haoran Xie Hong Kong
Tony Jebara United States
Bin Cui China
Xiaodong He United States
Armand Joulin Israel
Yingcai Wu China
Julian McAuley United States
Lichan Hong relative to Kian‐Lee Tan Singapore Kian‐Lee Tan's profile →
Citations per field
00.5×5.0×
Kian‐Lee Tan · 1×
Citations per year

Countries citing papers authored by Lichan Hong

Since Specialization
Citations

This map shows the geographic impact of Lichan Hong'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 Lichan Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichan Hong more than expected).

Fields of papers citing papers by Lichan Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lichan Hong. 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 Lichan Hong. The network helps show where Lichan Hong may publish in the future.

Co-authors

The 25 scholars most cited alongside Lichan Hong, 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 Lichan Hong Line = papers co-authored together Lichan Hong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wide & Deep Learning for Recommender Systems
Hit paper breakdown →
20162046
2
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
Hit paper breakdown →
2010829
3
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
Hit paper breakdown →
2018625
4
Tweets from Justin Bieber's heart
Hit paper breakdown →
2011345
5 1997233
6 2019181
7 2021143
8 2010117
9 2019115
10 201599
11 200292
12 199678
13 201974
14 199672
15 200268
16 202067
17 202161
18 200954
19 202048
20 200845

About Lichan Hong

Lichan Hong is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Management Science and Operations Research, having authored 84 papers that have together received 6.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (20 papers), Computer Graphics and Visualization Techniques (16 papers), Topic Modeling (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Advanced Vision and Imaging (10 papers), Advanced Bandit Algorithms Research (10 papers), 3D Shape Modeling and Analysis (8 papers) and Data Visualization and Analytics (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (476 citations), Information Systems (2.8k citations), Computer Vision and Pattern Recognition (1.8k citations), Artificial Intelligence (2.5k citations) and Communication (503 citations). Lichan Hong has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Ed H., Bongwon Suh, Peter Pirolli, Xinyang Yi, Zhe Zhao, Jilin Chen, Wei Koong Chai, Vihan Jain, Tushar Chandra and Heng-Tze Cheng. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Nuclear Science, Information Visualization, ACM Transactions on Interactive Intelligent Systems and IEEE Transactions on Medical Imaging.

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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