Ju Fan

3.0k total citations · 1 hit paper
85 papers, 1.9k citations indexed

About

Ju Fan is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Ju Fan has authored 85 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 27 papers in Information Systems and 23 papers in Management Science and Operations Research. Recurrent topics in Ju Fan's work include Data Quality and Management (22 papers), Mobile Crowdsensing and Crowdsourcing (19 papers) and Topic Modeling (15 papers). Ju Fan is often cited by papers focused on Data Quality and Management (22 papers), Mobile Crowdsensing and Crowdsourcing (19 papers) and Topic Modeling (15 papers). Ju Fan collaborates with scholars based in China, Singapore and United States. Ju Fan's co-authors include Kian‐Lee Tan, Guoliang Li, Yuchen Li, Yanhao Wang, Jianhua Feng, Beng Chin Ooi, Xiaoyong Du, Lizhu Zhou, Meihui Zhang and Chengliang Chai and has published in prestigious journals such as Journal of Medical Internet Research, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Multimedia.

In The Last Decade

Ju Fan

78 papers receiving 1.9k citations

Hit Papers

Influence Maximization on Social Graphs: A Survey 2018 2026 2020 2023 2018 100 200 300
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. Influence Maximization on Social Graphs: A Survey
    2018 389 citations Yuchen Li, Ju Fan et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Fan China 23 924 583 454 391 387 85 1.9k
Aris Anagnostopoulos Italy 20 514 0.6× 569 1.0× 498 1.1× 203 0.5× 207 0.5× 66 1.8k
Stefano Leonardi Italy 26 759 0.8× 573 1.0× 720 1.6× 265 0.7× 477 1.2× 116 2.5k
Adam Marcus United States 20 1.1k 1.2× 248 0.4× 439 1.0× 577 1.5× 289 0.7× 42 2.1k
Feida Zhu Singapore 28 1.5k 1.6× 731 1.3× 1.1k 2.4× 264 0.7× 173 0.4× 103 2.5k
Mausam Mausam India 25 2.1k 2.3× 177 0.3× 558 1.2× 343 0.9× 343 0.9× 81 2.8k
Luca Becchetti Italy 18 525 0.6× 410 0.7× 597 1.3× 184 0.5× 115 0.3× 60 1.5k
Theodoros Lappas United States 18 465 0.5× 385 0.7× 538 1.2× 244 0.6× 115 0.3× 49 1.6k
Sreenivas Gollapudi United States 19 748 0.8× 307 0.5× 811 1.8× 105 0.3× 299 0.8× 76 1.9k
Cheng–Te Li Taiwan 22 678 0.7× 301 0.5× 457 1.0× 129 0.3× 113 0.3× 132 1.4k
Panagiotis Symeonidis Greece 23 853 0.9× 376 0.6× 1.1k 2.4× 95 0.2× 160 0.4× 68 1.8k

Countries citing papers authored by Ju Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ju Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Fan. A scholar is included among the top collaborators of Ju Fan 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 Ju Fan. Ju Fan 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.
Tang, Nan, Ju Fan, Yuyu Luo, et al.. (2025). Cost-effective Missing Value Imputation for Data-effective Machine Learning. ACM Transactions on Database Systems. 50(3). 1–36. 1 indexed citations
2.
Chen, Sibei, Ju Fan, Bin Wu, et al.. (2025). Automatic Database Configuration Debugging using Retrieval-Augmented Language Models. Proceedings of the ACM on Management of Data. 3(1). 1–27. 1 indexed citations
3.
Fan, Ju, Zihui Gu, Lei Cao, et al.. (2024). Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL. Proceedings of the VLDB Endowment. 17(11). 2750–2763. 9 indexed citations
4.
Zhang, Jing, et al.. (2024). CodeS: Towards Building Open-source Language Models for Text-to-SQL. Proceedings of the ACM on Management of Data. 2(3). 1–28. 23 indexed citations
5.
6.
Han, Xiaoyue, et al.. (2024). Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration. 3696–3709. 11 indexed citations
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9.
Gu, Zihui, et al.. (2022). PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training. 4971–4983. 11 indexed citations
10.
Tang, Nan, Ju Fan, Fangyi Li, et al.. (2020). Relational Pretrained Transformers towards Democratizing Data Preparation [Vision].. arXiv (Cornell University). 2 indexed citations
11.
Li, Yuchen, Ju Fan, Yanhao Wang, & Kian‐Lee Tan. (2018). Influence Maximization on Social Graphs: A Survey. IEEE Transactions on Knowledge and Data Engineering. 30(10). 1852–1872. 389 indexed citations breakdown →
12.
Fan, Ju & Guoliang Li. (2018). Human-in-the-loop Rule Learning for Data Integration.. IEEE Data(base) Engineering Bulletin. 41. 104–115. 8 indexed citations
13.
Zhang, Dongxiang, et al.. (2018). Trajectory simplification. Proceedings of the VLDB Endowment. 11(9). 934–946. 46 indexed citations
14.
Lu, Jiaheng, et al.. (2017). Using hybrid algorithmic-crowdsourcing methods for academic knowledge acquisition. Cluster Computing. 20(4). 3629–3641. 4 indexed citations
15.
Liu, Jidong, Meirong Dong, Shunchun Yao, et al.. (2016). [A New Calibrated Model of Coal Calorific Value Detection with LIBS].. PubMed. 36(8). 2607–12. 1 indexed citations
16.
Fan, Ju. (2014). Tourist Destination Image,Place Attachment and Tourists' Environmentally Responsible Behavior:A Case of Zhejiang Tourist Resorts. Luyou xuekan. 2 indexed citations
17.
Fan, Ju. (2014). The Influence of Virtual Brand Community Interaction on the Customer Citizenship Behavior. Commercial Research. 2 indexed citations
18.
Fan, Ju, et al.. (2013). Crowdsourcing-assisted query structure interpretation. International Joint Conference on Artificial Intelligence. 2092–2098. 3 indexed citations
19.
Li, Guoliang, Ju Fan, Hao Wu, Jiannan Wang, & Jianhua Feng. (2011). DBease: Making Databases User-Friendly and Easily Accessible.. Conference on Innovative Data Systems Research. 45–56. 6 indexed citations
20.
Fan, Ju, Guoliang Li, & Lizhu Zhou. (2011). Interactive SQL query suggestion: Making databases user-friendly. 351–362. 34 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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