Jonathan Huang

77 papers receiving 2.9k citations

Jonathan Huang's Hit Papers

Deep Knowledge Tracing 2015 · 372 citations
3720+3+7Years since publication100200300

Peers

Jonathan Huang
Comparison fields: 5 of 169
  • Computer Science Applications 569
  • Health Informatics 97
  • Computer Vision and Pattern Recognition 876
  • Artificial Intelligence 1.1k
  • Human-Computer Interaction 133
Replace P. W. C. Prasad with:
P. W. C. Prasad Australia
Boyang Li China
Atsushi Shimada Japan
Sheikh Iqbal Ahamed United States
Ali Shariq Imran Norway
R. Badlishah Ahmad Malaysia
Giovanni Acampora Italy
Joaquim Jorge Portugal
M. Shamim Hossain Saudi Arabia
Salem Alelyani Saudi Arabia
Jonathan Huang relative to P. W. C. Prasad Australia P. W. C. Prasad's profile →
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P. W. C. Prasad · 1×
Citations per year

Countries citing papers authored by Jonathan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Knowledge Tracing
Hit paper breakdown →
2015372
2
Im2Calories: Towards an Automated Mobile Vision Food Diary
Hit paper breakdown →
2015328
3 2017190
4 2020158
5 2009154
6 2016138
7 2014119
8 2022115
9 1999115
10
Rethinking Spatiotemporal Feature Learning For Video Understanding.
2017114
11 202287
12 201577
13 201475
14 201473
15 200861
16
Tuned Models of Peer Assessment in MOOCs.
201356
17 202353
18 200547
19 202147
20 200547

About Jonathan Huang

Jonathan Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering and Computer Science Applications, having authored 83 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Music and Audio Processing (5 papers), Context-Aware Activity Recognition Systems (5 papers), Speech and Audio Processing (5 papers), Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Game Theory and Voting Systems (4 papers). The work is most often cited by research in Computer Science Applications (569 citations), Health Informatics (97 citations), Computer Vision and Pattern Recognition (876 citations), Artificial Intelligence (1.1k citations) and Human-Computer Interaction (133 citations). Jonathan Huang has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Leonidas Guibas, Chris Piech, Kevin Murphy, Vivek Rathod, Mehran Sahami, Lama Nachman, Surya Ganguli, Jascha Sohl‐Dickstein, Zhichao Lu and Carlos Guestrin. Their work appears in journals such as World Neurosurgery, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, JAMA Network Open, Clinical and Translational Gastroenterology and Journal of Glaucoma.

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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