Hao Tan

4.1k citations
29 papers · 1.8k · 1 hit paper · h-index 13

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Video Analysis and Summarization
    • Domain Adaptation and Few-Shot Learning
    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech and dialogue systems

Papers in

    • Multimodal Machine Learning Applications 16
    • Advanced Image and Video Retrieval Techniques 5
    • Advanced Neural Network Applications 2
    • Topic Modeling 11
    • Natural Language Processing Techniques 9
    • Domain Adaptation and Few-Shot Learning 4
    • Seismology and Earthquake Studies 3
    • Speech and dialogue systems 2

Hao Tan

26 papers receiving 1.7k citations

Hao Tan's Hit Papers

LXMERT: Learning Cross-Modality Encoder Representations from Transformers 2019 · 1.3k citations
1.3k0+2+4Years since publication4008001.2k

Peers

Hao Tan
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 1.3k
  • Health Informatics 8
  • Signal Processing 41
  • Geography, Planning and Development 19
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Hao Tan relative to Justin Johnson United States Justin Johnson's profile →
Citations per field
00.5×1.5×
Justin Johnson · 1×
Citations per year

Countries citing papers authored by Hao Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hit paper breakdown →
20191329
2
Unifying Vision-and-Language Tasks via Text Generation
2021110
3 202050
4 202250
5 202032
6 202031
7 202026
8 202323
9 202120
10 202119
11 202018
12 202012
13 202312
14 202010
15 20186
16 20185
17 20233
18 20243
19 20223
20
Tactual Display For Wearable Computing
19973

About Hao Tan

Hao Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Geophysics, Human-Computer Interaction and Automotive Engineering, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (16 papers), Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers), Advanced Image and Video Retrieval Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Seismology and Earthquake Studies (3 papers), Speech and dialogue systems (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (1.3k citations), Health Informatics (8 citations), Signal Processing (41 citations) and Geography, Planning and Development (19 citations). Hao Tan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Mohit Bansal, Jie Lei, Jaemin Cho, Jialu Li, Yubo Zhang, Jialu Li, Ron Alterovitz, Alan Kuntz, Haonan Chen and Zhewei Yao. Their work appears in journals such as Food Research International, Swarm and Evolutionary Computation, Engineering Geology, Tunnelling and Underground Space Technology and Engineering.

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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