Hancheng Cao

1.1k total citations · 1 hit paper
29 papers, 505 citations indexed

About

Hancheng Cao is a scholar working on Transportation, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Hancheng Cao has authored 29 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Transportation, 7 papers in Sociology and Political Science and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Hancheng Cao's work include Human Mobility and Location-Based Analysis (11 papers), Complex Network Analysis Techniques (7 papers) and Digital Marketing and Social Media (6 papers). Hancheng Cao is often cited by papers focused on Human Mobility and Location-Based Analysis (11 papers), Complex Network Analysis Techniques (7 papers) and Digital Marketing and Social Media (6 papers). Hancheng Cao collaborates with scholars based in United States, China and Hong Kong. Hancheng Cao's co-authors include Yong Li, Fengli Xu, Hanan Samet, Jagan Sankaranarayanan, Min Chen, Vassilis Kostakos, Sasu Tarkoma, Daniel Scott Smith, Pan Hui and Daniel A. McFarland and has published in prestigious journals such as American Sociological Review, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Mobile Computing.

In The Last Decade

Hancheng Cao

29 papers receiving 497 citations

Hit Papers

User Experience Design Pr... 2024 2026 2024 10 20 30 40
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.

  1. User Experience Design Professionals’ Perceptions of Generative Artificial Intelligence
    2024 42 citations Hancheng Cao, Ruihao Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hancheng Cao United States 13 141 121 79 77 50 29 505
Afra Mashhadi United States 13 140 1.0× 74 0.6× 72 0.9× 101 1.3× 48 1.0× 48 538
Pedro O. S. Vaz de Melo Brazil 14 249 1.8× 90 0.7× 79 1.0× 139 1.8× 47 0.9× 84 695
Laura Radaelli Israel 7 72 0.5× 192 1.6× 90 1.1× 152 2.0× 65 1.3× 9 488
Pamela Ludford United States 10 262 1.9× 95 0.8× 126 1.6× 253 3.3× 126 2.5× 14 884
Siyuan Liu China 12 175 1.2× 99 0.8× 78 1.0× 145 1.9× 51 1.0× 51 553
Ana Almeida Portugal 10 62 0.4× 92 0.8× 156 2.0× 110 1.4× 58 1.2× 49 444
Emilio Serrano Spain 16 49 0.3× 203 1.7× 70 0.9× 78 1.0× 93 1.9× 52 524
Hamid Turab Mirza Pakistan 11 140 1.0× 184 1.5× 269 3.4× 141 1.8× 64 1.3× 34 559
Kévin Huguenin Switzerland 15 75 0.5× 306 2.5× 115 1.5× 252 3.3× 24 0.5× 46 641
Alvin Chin China 13 163 1.2× 125 1.0× 143 1.8× 115 1.5× 64 1.3× 63 689

Countries citing papers authored by Hancheng Cao

Since Specialization
Citations

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

Fields of papers citing papers by Hancheng Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hancheng Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Hancheng Cao. A scholar is included among the top collaborators of Hancheng Cao 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 Hancheng Cao. Hancheng Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liang, Weixin, Zhengxuan Wu, Hancheng Cao, et al.. (2025). Quantifying large language model usage in scientific papers. Nature Human Behaviour. 9(12). 2599–2609. 8 indexed citations
2.
Liang, Weixin, et al.. (2025). The widespread adoption of large language model-assisted writing across society. Patterns. 6(12). 101366–101366. 1 indexed citations
3.
Zhang, Yanhong, Yong Guo, Lu Zhang, et al.. (2024). A novel one-step strategy for deep treatment of phosphite‑nickel wastewater using defective metal-organic framework-chitosan composite biosorbent. Journal of Water Process Engineering. 69. 106849–106849. 3 indexed citations
4.
Liang, Weixin, Hancheng Cao, Daisy Yi Ding, et al.. (2024). Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis. NEJM AI. 1(8). 70 indexed citations
5.
Cao, Hancheng, et al.. (2024). User Experience Design Professionals’ Perceptions of Generative Artificial Intelligence. 1–18. 42 indexed citations breakdown →
6.
Smith, Daniel Scott, et al.. (2023). How New Ideas Diffuse in Science. American Sociological Review. 88(3). 522–561. 13 indexed citations
7.
Cao, Hancheng, et al.. (2022). Beyond Virtual Bazaar: How Social Commerce Promotes Inclusivity for the Traditionally Underserved Community in Chinese Developing Regions. CHI Conference on Human Factors in Computing Systems. 1–15. 6 indexed citations
8.
Wang, Huandong, et al.. (2021). Context-Aware Semantic Annotation of Mobility Records. ACM Transactions on Knowledge Discovery from Data. 16(3). 1–20. 3 indexed citations
9.
Fan, Yali, Zhen Tu, Tong Li, et al.. (2021). Understanding the Long-term Dynamics of Mobile App Usage Context via Graph Embedding. IEEE Transactions on Knowledge and Data Engineering. 1–1. 3 indexed citations
10.
Cao, Hancheng, et al.. (2021). My Team Will Go On. Proceedings of the ACM on Human-Computer Interaction. 4(CSCW3). 1–27. 16 indexed citations
11.
Li, Yong, et al.. (2021). Community Value Prediction in Social E-commerce. 2958–2967. 7 indexed citations
12.
Cao, Hancheng, et al.. (2020). Understanding the Role of Intermediaries in Online Social E-commerce. arXiv (Cornell University). 4 indexed citations
13.
Cao, Hancheng, et al.. (2020). HealthWalks. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(4). 1–26. 12 indexed citations
14.
Cao, Hancheng, et al.. (2020). My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction. arXiv (Cornell University). 4. 1–27. 5 indexed citations
15.
Li, Tong, Mingyang Zhang, Hancheng Cao, et al.. (2020). ”What Apps Did You Use?”: Understanding the Long-term Evolution of Mobile App Usage. Työväentutkimus Vuosikirja. 66–76. 40 indexed citations
16.
Cao, Hancheng, et al.. (2020). Understanding the Role of Intermediaries in Online Social E-commerce. Proceedings of the ACM on Human-Computer Interaction. 4(CSCW2). 1–24. 12 indexed citations
17.
18.
Cao, Hancheng, Fengli Xu, Jagan Sankaranarayanan, Yong Li, & Hanan Samet. (2019). Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population. IEEE Transactions on Mobile Computing. 19(5). 1096–1108. 60 indexed citations
19.
Cao, Hancheng, et al.. (2018). User behaviour modeling, recommendations, and purchase prediction during shopping festivals. Electronic Markets. 29(2). 263–274. 47 indexed citations
20.
Cao, Hancheng, Jie Feng, Yong Li, & Vassilis Kostakos. (2018). Uniqueness in the City. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 2(2). 1–20. 17 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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