Yuan Jin

456 total citations
15 papers, 213 citations indexed

About

Yuan Jin is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yuan Jin has authored 15 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 6 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Yuan Jin's work include Mobile Crowdsensing and Crowdsourcing (5 papers), Online Learning and Analytics (2 papers) and Open Source Software Innovations (2 papers). Yuan Jin is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (5 papers), Online Learning and Analytics (2 papers) and Open Source Software Innovations (2 papers). Yuan Jin collaborates with scholars based in Australia, United States and China. Yuan Jin's co-authors include Sulin Ba, Lan Du, Wray Buntine, Dinh Phung, He Zhao, Xinxin Li, Xianghua Lu, Ye Zhu, Jan Stallaert and Mark Carman and has published in prestigious journals such as MIS Quarterly, Artificial Intelligence and Information Systems Research.

In The Last Decade

Yuan Jin

13 papers receiving 205 citations

Peers

Yuan Jin
Reyyan Yeniterzi Türkiye
Pooja Kherwa India
Manar Alkhatib United Arab Emirates
Sean Massung United States
Xiaowei Mei United States
Martin Saveski United States
Anthony Scime United States
Patrick Siehndel Germany
Preston McAfee United States
Reyyan Yeniterzi Türkiye
Yuan Jin
Citations per year, relative to Yuan Jin Yuan Jin (= 1×) peers Reyyan Yeniterzi

Countries citing papers authored by Yuan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Jin

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

All Works

15 of 15 papers shown
1.
Jin, Yuan, et al.. (2025). The Curse of Experience in Creative Crowdsourcing Contests and Contest Searches as a Remedy. MIS Quarterly. 50(1). 351–378.
2.
3.
Wang, Weiqing, et al.. (2023). HiTSKT: A hierarchical transformer model for session-aware knowledge tracing. Knowledge-Based Systems. 284. 111300–111300. 17 indexed citations
4.
Zhao, He, et al.. (2021). Topic Modelling Meets Deep Neural Networks: A Survey. Monash University Research Portal (Monash University). 4713–4720. 72 indexed citations
5.
Zhu, Ye, Kai Ming Ting, Yuan Jin, & Maia Angelova. (2021). Hierarchical clustering that takes advantage of both density-peak and density-connectivity. Information Systems. 103. 101871–101871. 19 indexed citations
6.
7.
Jin, Yuan, et al.. (2021). Winning by Learning? Effect of Knowledge Sharing in Crowdsourcing Contests. Information Systems Research. 32(3). 836–859. 30 indexed citations
8.
Ba, Sulin, Yuan Jin, Xinxin Li, & Xianghua Lu. (2020). One Size Fits All? The Differential Impact of Online Reviews and Coupons. Production and Operations Management. 29(10). 2403–2424. 39 indexed citations
9.
Jin, Yuan, et al.. (2020). Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.. Own your potential (DEAKIN). 1 indexed citations
10.
Jin, Yuan, Mark Carman, Ye Zhu, & Yong Xiang. (2020). A technical survey on statistical modelling and design methods for crowdsourcing quality control. Artificial Intelligence. 287. 103351–103351. 15 indexed citations
11.
Jin, Yuan, Ming Liu, Yunfeng Li, et al.. (2020). Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data. Data Mining and Knowledge Discovery. 35(2). 505–532. 4 indexed citations
12.
13.
Jin, Yuan, Mark Carman, Dongwoo Kim, & Lexing Xie. (2017). Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 5. 79–88. 4 indexed citations
14.
Jin, Yuan, Mark Carman, & Lexing Xie. (2016). A little competition never hurt anyone's relevance assessments. Own your potential (DEAKIN). 2 indexed citations
15.
Jin, Yuan. (2010). User Activities Clustering of Search Engine. 1 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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2026