Yi Fang

1.4k total citations
53 papers, 654 citations indexed

About

Yi Fang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yi Fang has authored 53 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 21 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yi Fang's work include Topic Modeling (11 papers), Recommender Systems and Techniques (10 papers) and Text and Document Classification Technologies (8 papers). Yi Fang is often cited by papers focused on Topic Modeling (11 papers), Recommender Systems and Techniques (10 papers) and Text and Document Classification Technologies (8 papers). Yi Fang collaborates with scholars based in United States, China and Singapore. Yi Fang's co-authors include Luo Si, Zhengtao Yu, Miao Jiang, Amir Pnueli, Benjamin Goldberg, Lenore D. Zuck, Dae Hoon Park, Mengwen Liu, Min Xie and Auroop R. Ganguly and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yi Fang

48 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Fang United States 13 396 281 98 77 69 53 654
Amin Mantrach Spain 11 285 0.7× 239 0.9× 98 1.0× 134 1.7× 50 0.7× 19 545
Rolf Schwitter Australia 14 560 1.4× 258 0.9× 35 0.4× 139 1.8× 62 0.9× 63 762
Shourya Roy India 16 581 1.5× 269 1.0× 112 1.1× 72 0.9× 39 0.6× 57 789
P Deepak India 14 330 0.8× 202 0.7× 58 0.6× 31 0.4× 107 1.6× 70 613
Bharat Bhasker India 10 191 0.5× 240 0.9× 58 0.6× 47 0.6× 87 1.3× 40 464
Haggai Roitman Israel 19 478 1.2× 402 1.4× 142 1.4× 67 0.9× 56 0.8× 75 869
Debasis Ganguly Ireland 14 564 1.4× 358 1.3× 131 1.3× 22 0.3× 48 0.7× 100 806
Sang‐goo Lee South Korea 16 490 1.2× 379 1.3× 185 1.9× 55 0.7× 68 1.0× 69 857
Naama Zwerdling Israel 9 419 1.1× 465 1.7× 135 1.4× 149 1.9× 94 1.4× 13 846

Countries citing papers authored by Yi Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Fang. A scholar is included among the top collaborators of Yi Fang 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 Yi Fang. Yi Fang 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.
Wang, Qifan, et al.. (2025). W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. 136–146. 1 indexed citations
2.
Chen, Xi, et al.. (2025). Strategic XFC Charging Station Placement in Equilibrium Traffic Networks. IEEE Transactions on Intelligent Transportation Systems. 26(4). 4865–4877. 2 indexed citations
3.
Wang, Qifan, et al.. (2024). Soft prompt tuning for augmenting dense retrieval with large language models. Knowledge-Based Systems. 309. 112758–112758. 6 indexed citations
4.
Nguyen, Cuong, et al.. (2023). Method for evaluating fairness of electricity tariffs with regard to income level of residential buildings. Applied Energy. 353. 122130–122130. 3 indexed citations
5.
Yin, Peifeng, et al.. (2023). An Empirical Study of Selection Bias in Pinterest Ads Retrieval. 5174–5183. 4 indexed citations
6.
Fang, Yi, et al.. (2023). A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation. IEEE Access. 11. 41680–41696. 1 indexed citations
7.
Barni, Mauro, Yi Fang, Yuhong Liu, et al.. (2022). Combating Misinformation/ Disinformation in Online Social Media: A Multidisciplinary View. APSIPA Transactions on Signal and Information Processing. 11(2). 1–28. 3 indexed citations
8.
Magnani, Alessandro, et al.. (2022). A Multi-task Learning Framework for Product Ranking with BERT. Proceedings of the ACM Web Conference 2022. 493–501. 7 indexed citations
9.
Jiang, Miao, et al.. (2020). Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems. 444–450. 11 indexed citations
10.
Lu, Haibing, et al.. (2018). Fault-tolerant tile mining. Expert Systems with Applications. 101. 25–42.
11.
Fang, Yi & Mengwen Liu. (2016). A Unified Energy-based Framework for Learning to Rank. 171–180.
12.
Chen, Kai, Yi Fang, Jianhua He, et al.. (2016). Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging. ACM Transactions on Information Systems. 35(3). 1–36. 12 indexed citations
13.
Jiang, Miao, et al.. (2014). Where not to go?. 1223–1226. 37 indexed citations
14.
Pendyala, Vishnu S., Yi Fang, Jo Holliday, & A.M.S. Zalzala. (2014). A text mining approach to automated healthcare for the masses. 10 indexed citations
15.
Fang, Yi, et al.. (2014). Modeling the dynamics of personal expertise. 1107–1110. 13 indexed citations
16.
Nguyen, Hung Viet, et al.. (2013). A Pattern Matching Approach to Streaming Slot Filling.. Text REtrieval Conference.
17.
Zhang, Ying, Yi Fang, Xiaojun Quan, et al.. (2012). Emotion tagging for comments of online news by meta classification with heterogeneous information sources. Purdue e-Pubs (Purdue University System). 1059–1060. 4 indexed citations
18.
Fang, Yi, et al.. (2011). Analysis of an expert search query log. Purdue e-Pubs (Purdue University System). 1189–1190. 8 indexed citations
19.
Fang, Yi, et al.. (2010). Purdue at TREC 2010 Entity Track: a Probabilistic Framework for Matching Types between Candidate and Target Entities. Text REtrieval Conference. 4 indexed citations
20.
Zuck, Lenore D., Amir Pnueli, Yi Fang, & Benjamin Goldberg. (2003). VOC: A Methodology for the Translation Validation of OptimizingCompilers. Zenodo (CERN European Organization for Nuclear Research). 46 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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