Longqi Yang

2.5k total citations · 2 hit papers
45 papers, 1.4k citations indexed

About

Longqi Yang is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Longqi Yang has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 8 papers in Communication. Recurrent topics in Longqi Yang's work include Recommender Systems and Techniques (15 papers), Topic Modeling (7 papers) and Radio, Podcasts, and Digital Media (5 papers). Longqi Yang is often cited by papers focused on Recommender Systems and Techniques (15 papers), Topic Modeling (7 papers) and Radio, Podcasts, and Digital Media (5 papers). Longqi Yang collaborates with scholars based in United States, China and United Kingdom. Longqi Yang's co-authors include Deborah Estrin, Serge Belongie, Cheng-Kang Hsieh, Yin Cui, Tsung-Yi Lin, Brent Hecht, Jaime Teevan, Siddharth Suri, Sonia Jaffe and Kevin Sherman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Communications of the ACM and International Journal of Computer Vision.

In The Last Decade

Longqi Yang

41 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The effects of remote work on collaboration among information workers

2021 357 citations Longqi Yang, David Holtz et al. Nature Human Behaviour profile →
Collaborative Metric Learning

2017 343 citations Cheng-Kang Hsieh, Longqi Yang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Longqi Yang United States	15	634	549	237	210	206	45	1.4k
Martijn C. Willemsen Netherlands	21	868 1.4×	580 1.1×	305 1.3×	398 1.9×	287 1.4×	83	1.9k
Balaji Padmanabhan United States	24	734 1.2×	582 1.1×	111 0.5×	240 1.1×	171 0.8×	83	1.7k
Judith Masthoff United Kingdom	22	883 1.4×	852 1.6×	364 1.5×	402 1.9×	158 0.8×	148	2.5k
Wingyan Chung United States	22	890 1.4×	701 1.3×	234 1.0×	540 2.6×	148 0.7×	83	2.1k
Naif Radi Aljohani Saudi Arabia	30	613 1.0×	1.1k 2.0×	129 0.5×	332 1.6×	125 0.6×	120	2.7k
Chen Zhang China	18	466 0.7×	328 0.6×	84 0.4×	195 0.9×	163 0.8×	105	1.5k
Hamed Jelodar China	12	313 0.5×	767 1.4×	187 0.8×	398 1.9×	84 0.4×	27	1.7k
Saeed‐Ul Hassan Pakistan	28	440 0.7×	917 1.7×	99 0.4×	219 1.0×	123 0.6×	114	2.3k
Przemysław Kazienko Poland	23	439 0.7×	791 1.4×	196 0.8×	318 1.5×	113 0.5×	117	2.1k
Roliana Ibrahim Malaysia	20	611 1.0×	856 1.6×	125 0.5×	161 0.8×	167 0.8×	121	1.7k

Countries citing papers authored by Longqi Yang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Longqi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Longqi Yang. A scholar is included among the top collaborators of Longqi Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Longqi Yang. Longqi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Shah, Chirag, Ryen W. White, Reid Andersen, et al.. (2025). Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. ACM Transactions on the Web. 19(3). 1–29. 3 indexed citations

2.

Wan, Mengting, Tara Safavi, Siddharth Suri, et al.. (2024). TnT-LLM: Text Mining at Scale with Large Language Models. 5836–5847. 15 indexed citations

3.

Neville, Jennifer, Jack W. Stokes, Longqi Yang, et al.. (2024). Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. 11100–11115. 3 indexed citations

4.

Shah, Chirag, Mengting Wan, Jennifer Neville, et al.. (2024). S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. 14996–15014.

5.

Mysore, Sheshera, Zhuoran Lu, Mengting Wan, et al.. (2024). Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. 198–219. 1 indexed citations

6.

Yang, Longqi, et al.. (2023). Workplace Recommendation with Temporal Network Objectives. 4958–4969. 1 indexed citations

7.

Yang, Longqi, et al.. (2023). Large-Scale Analysis of New Employee Network Dynamics. arXiv (Cornell University). 2719–2730. 5 indexed citations

8.

Tao, Yanqiu, Longqi Yang, Sonia Jaffe, et al.. (2023). Climate mitigation potentials of teleworking are sensitive to changes in lifestyle and workplace rather than ICT usage. Proceedings of the National Academy of Sciences. 120(39). e2304099120–e2304099120. 14 indexed citations

9.

Haresamudram, Harish, Jina Suh, Javier Castro‐Hernández, et al.. (2023). Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing. 33. 1–8. 1 indexed citations

10.

Ma, Jing, Ruocheng Guo, Mengting Wan, et al.. (2022). Learning Fair Node Representations with Graph Counterfactual Fairness. arXiv (Cornell University). 695–703. 42 indexed citations

11.

Yang, Longqi, Liangliang Zhang, & Wenjing Yang. (2021). Graph Adversarial Self-Supervised Learning. Neural Information Processing Systems. 34. 12 indexed citations

12.

Yang, Longqi, David Holtz, Sonia Jaffe, et al.. (2021). The effects of remote work on collaboration among information workers. Nature Human Behaviour. 6(1). 43–54. 357 indexed citations breakdown →

13.

Jones, Rosie, et al.. (2021). PodRecs 2021: 2nd Workshop on Podcast Recommendations. 796–798. 1 indexed citations

14.

Yang, Longqi, Tobias Schnabel, Paul N. Bennett, & Susan Dumais. (2021). Local Factor Models for Large-Scale Inductive Recommendation. 252–262. 3 indexed citations

15.

Yang, Longqi, et al.. (2018). OpenRec. 664–672. 32 indexed citations

16.

Yao, Wen, et al.. (2018). Satellite Lifetime Optimization Based on Discrete Cross Entropy Method. 31. 1–8. 1 indexed citations

17.

Yang, Longqi, Liangliang Zhang, Zhisong Pan, Guyu Hu, & Yanyan Zhang. (2018). Community Detection Based on Co-regularized Nonnegative Matrix Tri-Factorization in Multi-view Social Networks. 98–105. 6 indexed citations

18.

Aung, Min Hane, Faisal Alquaddoomi, Cheng-Kang Hsieh, et al.. (2016). Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain. IEEE Journal of Selected Topics in Signal Processing. 10(5). 962–974. 31 indexed citations

19.

Hsieh, Cheng-Kang, et al.. (2016). GroupLink. 110–113. 7 indexed citations

20.

Yang, Longqi, Yin Cui, Fan Zhang, et al.. (2015). PlateClick. 183–192. 23 indexed citations

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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