Ying Fan
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
-
- Image and Video Quality Assessment
- Image Retrieval and Classification Techniques
Papers in
-
- Image and Video Quality Assessment 3
- Advanced Neural Network Applications 2
- Face and Expression Recognition 2
-
- Cloud Computing and Resource Management 4
- Co-authors
- Guorui Zhou (5 shared papers)Xiaoqiang Zhu (5 shared papers)Kun Gai (4 shared papers)Xiao Ma (1 shared paper)Yanghui Yan (1 shared paper)Zhu Tao Han (1 shared paper)Junqi Jin (1 shared paper)Han Li (1 shared paper)
- Journals
- Chaos Solitons & Fractals (1 paper)Frontiers of Computer Science (1 paper)Current Protein and Peptide Science (1 paper)Lecture notes in computer science (1 paper)Applied Mechanics and Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Fan
23 papers receiving 2.4k citations
Ying Fan's Hit Papers
Peers
Comparison fields: 5 of 81
- Information Systems 2.0k
- Computer Vision and Pattern Recognition 896
- Artificial Intelligence 1.3k
- Management Science and Operations Research 453
- Transportation 147
Countries citing papers authored by Ying Fan
This map shows the geographic impact of Ying 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 Ying Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Fan more than expected).
Fields of papers citing papers by Ying Fan
This network shows the impact of papers produced by Ying 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 Ying Fan. The network helps show where Ying Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Interest Network for Click-Through Rate Prediction Hit paper breakdown → | 2018 | 1397 |
| 2 | Deep Interest Evolution Network for Click-Through Rate Prediction Hit paper breakdown → | 2019 | 715 |
| 3 | 2020 | 175 | |
| 4 | 2018 | 82 | |
| 5 | 2017 | 41 | |
| 6 | 2018 | 35 | |
| 7 | 2021 | 22 | |
| 8 | 2009 | 15 | |
| 9 | 2015 | 9 | |
| 10 | 2012 | 5 | |
| 11 | 2009 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2021 | 3 | |
| 16 | Instance Specific Discriminative Modal Pursuit: A Serialized Approach. | 2017 | 3 |
| 17 | 2019 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2007 | 2 |
About Ying Fan
Ying Fan is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Image and Video Quality Assessment (3 papers), Software System Performance and Reliability (3 papers), Advanced Measurement and Detection Methods (3 papers), Caching and Content Delivery (2 papers), Advanced Neural Network Applications (2 papers), Machine Learning and Data Classification (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Information Systems (2.0k citations), Computer Vision and Pattern Recognition (896 citations), Artificial Intelligence (1.3k citations), Management Science and Operations Research (453 citations) and Transportation (147 citations). Ying Fan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guorui Zhou, Xiaoqiang Zhu, Kun Gai, Xiao Ma, Yanghui Yan, Zhu Tao Han, Junqi Jin, Han Li, Weijie Bian and Na Mou. Their work appears in journals such as Chaos Solitons & Fractals, Frontiers of Computer Science, Current Protein and Peptide Science, Lecture notes in computer science and Applied Mechanics and Materials.
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.