Longqi Yang
- Information Systems top 1%
- Recommender Systems and Techniques 15
- Artificial Intelligence top 2%
- Topic Modeling 7
- Advanced Graph Neural Networks 5
- Natural Language Processing Techniques 3
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- Advanced Bandit Algorithms Research 5
- Communication top 10%
- Radio, Podcasts, and Digital Media 5
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- Digital Marketing and Social Media 4
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- Caching and Content Delivery 4
- Co-authors
- Deborah EstrinSerge BelongieCheng-Kang HsiehYin CuiTsung-Yi LinBrent HechtJaime TeevanSiddharth Suri
- Journals
- Proceedings of the National Academy of Sciences (2 papers)ACM Transactions on the Web (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Longqi Yang
41 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Information Systems 634
- Artificial Intelligence 549
- Management Science and Operations Research 206
- Computer Vision and Pattern Recognition 237
- Communication 67
Countries citing papers authored by Longqi Yang
This map shows the geographic impact of Longqi Yang'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 Longqi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longqi Yang more than expected).
Fields of papers citing papers by Longqi Yang
This network shows the impact of papers produced by Longqi Yang. 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 Longqi Yang. The network helps show where Longqi Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Longqi Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 42 | |
| 11 | 2022 | 33 | |
| 12 | Graph Adversarial Self-Supervised Learning | 2021 | 12 |
| 13 | The effects of remote work on collaboration among information workersbreakdown → | 2021 | 357 |
| 14 | 2021 | 1 | |
| 15 | 2018 | 32 | |
| 16 | 2018 | 6 | |
| 17 | 2018 | 1 | |
| 18 | 2016 | 31 | |
| 19 | 2016 | 7 | |
| 20 | 2015 | 23 |
About Longqi Yang
Longqi Yang is a scholar working on Communication, Information Systems, Artificial Intelligence, Management Science and Operations Research and Transportation, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (15 papers), Topic Modeling (7 papers), Radio, Podcasts, and Digital Media (5 papers), Advanced Graph Neural Networks (5 papers), Advanced Bandit Algorithms Research (5 papers), Digital Marketing and Social Media (4 papers), Caching and Content Delivery (4 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Information Systems (634 citations), Artificial Intelligence (549 citations), Management Science and Operations Research (206 citations), Computer Vision and Pattern Recognition (237 citations) and Communication (67 citations). Longqi Yang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Deborah Estrin, Serge Belongie, Cheng-Kang Hsieh, Yin Cui, Tsung-Yi Lin, Brent Hecht, Jaime Teevan, Siddharth Suri, Sonia Jaffe and David Holtz. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACM Transactions on the Web, IEEE Journal of Selected Topics in Signal Processing, Communications of the ACM and ACM Transactions on Information Systems.
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.