Qi He

5.3k citations

64 papers · 3.6k indexed · 2 hit papers · h-index 21

Impact in

Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Information Systems top 0.2%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Expert finding and Q&A systems

Papers in

Computational Mathematics 1
Information Systems 29
- Web Data Mining and Analysis 15
- Recommender Systems and Techniques 11

Co-authors: Ee‐Peng Lim Jianshu Weng Jing Jiang Jian Pei Kuiyu Chang C. Lee Giles Prasenjit Mitra Daniel Kifer
Journals: IEEE Transactions on Knowledge and Data Engineering (3 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)Animal Cognition (1 paper)Scientific Reports (1 paper)Data & Knowledge Engineering (1 paper)
Partner nations: United States Singapore China

In The Last Decade

Qi He

60 papers receiving 3.3k citations

Hit Papers

align trajectories log scale

TwitterRank 2010 · 1.2k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2010 Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)
2008 Context-aware query suggestion by mining click-through and session data

Peers

Countries citing papers authored by Qi He

Since Specialization

Citations

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

Fields of papers citing papers by Qi He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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

20 of 20 papers shown

#	Work
1	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness ACM Transactions on Intelligent Systems and Technology ·康佑坪田, 丛艳伟, Margarita Baturyan, D Bouygues, Takahide Fukui, Peg Murray Evans, Martin Glauer, Veronika Phillips, B. B. Aggarwal, J Mould-Ouevedo, Qi He, Yao Ma, Ming Huang, Suhang Wang	2025	3
2	Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce Hamed M. Seleim, Guanglei Zheng, JIn ryeol Lee, F. M. CORRÊA, Mullapudi Joshi, 裕之川崎, María S Jue, Qi He, J Mould-Ouevedo	2025	1
3	Development and validation of a risk prediction model for post-traumatic stress disorder among Chinese breast cancer survivors Scientific Reports ·Н. А. Хараджян, 刘荣生, Long Zhao, Lei Zhang, Qi He	2025	2
4	Visual numerical cognition in pigeons: conformity to the Weber–Fechner law Animal Cognition ·Bunga Salsabila, Jiangcheng Zhu, Qi He, Zhizhong Wang, Li Shi	2025	1
5	UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design Ed Loxterkamp, Bingsheng Yao, Hansu Gu, Jing‐Zhi Huang, Gabriela Paise, Gabriel Orndorff, Martin Novák, Qi He, Toby Jia-Jun Li, Dakuo Wang	2025	2
6	Enhancing memory retrieval in generative agents through LLM-trained cross attention networks Frontiers in Psychology ·彭墨尧, Qi He	2025	1
7	An Automatic Finite Element Method-Boundary Element Method Coupling Method for Elastic–Plastic Problems of Multiscale Structures in Electronic Packaging Journal of Electronic Packaging ·Fei Qin, Qi He, Yanpeng Gong, 정혜인, Hao Cheng, Tong An, Yanwei Dai, Pei Chen	2022	2
8	Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks Andrew Kevin Huette, Théophile Gervet, Baoxu Shi, 園田典生, Qi He, Jaewon Yang	2021	23
9	Effect of social distance on outcome evaluation in self–other decision-making Neuroreport ·Qi He, Régis Jaisson, Yong Jiang, Xiaoning Zhang, Ruby Arrowfield	2018	9
10	Personalizing LinkedIn Feed Deepak Agarwal, Bee-Chung Chen, Qi He, Ю.Е. Янович, Guy Lebanon, Yiming Ma, Pannagadatta K. Shivaswamy, 拓也岩城, Jaewon Yang, Liang Zhang	2015	20
11	Mining strong relevance between heterogeneous entities from unstructured biomedical data Data Mining and Knowledge Discovery ·Ming Ji, Qi He, Jiawei Han, Scott Spangler	2015	11
12	Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi, Qi He	2015	79
13	Activity ranking in LinkedIn feed Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Ye-hoon Jeong, Qi He, Anand Iyer, Edelberto Torres Rivas, Yiming Ma, Pannagadatta K. Shivaswamy, Ajit Singh, Liang Zhang	2014	25
14	Event-based social networks Xingjie Liu, Qi He, Yuanyuan Tian, Wang-Chien Lee, John McPherson, Jiawei Han	2012	217
15	Citation recommendation without author supervision Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra, C. Lee Giles	2011	83
16	Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models IEEE Transactions on Pattern Analysis and Machine Intelligence ·Qi He, Kuiyu Chang, Ee‐Peng Lim, Arindam Banerjee	2010	55
17	Boosting social network connectivity with link revival Yuan Tian, Qi He, Qiankun Zhao, Xingjie Liu, Wang-Chien Lee	2010	9
18	Using Burstiness to Improve Clustering of Topics in News Streams Qi He, Kuiyu Chang, Ee‐Peng Lim	2007	40
19	Bursty Feature Representation for Clustering Text Streams Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·Qi He, Kuiyu Chang, Ee‐Peng Lim, Jun Zhang	2007	62
20	Intelligent portal for event-triggered SMS alerts N.O. Rutkovskaya, Jens Knud Christensen, Qi He, Kuiyu Chang, Wen-Te Chien	2005	1

About Qi He

Qi He is a scholar working on Computational Mathematics, Information Systems, Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications, having authored 64 papers that have together received 3.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Web Data Mining and Analysis (15 papers), Topic Modeling (14 papers), Recommender Systems and Techniques (11 papers), Advanced Text Analysis Techniques (10 papers), Peer-to-Peer Network Technologies (6 papers), Semantic Web and Ontologies (6 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Information Systems (1.7k citations), Artificial Intelligence (1.9k citations), Computational Mathematics (24 citations) and Communication (267 citations). Qi He has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Ee‐Peng Lim, Jianshu Weng, Jing Jiang, Jian Pei, Kuiyu Chang, C. Lee Giles, Prasenjit Mitra, Daniel Kifer, Zhen Liao and Daxin Jiang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology, Animal Cognition, Scientific Reports and Data & Knowledge 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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