Yu He
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Data Mining Algorithms and Applications
- Biophysics top 5%
Papers in
-
- Algorithms and Data Compression 5
- Sentiment Analysis and Opinion Mining 5
- Genetics 14
- Genetic diversity and population structure 5
- Forensic and Genetic Research 5
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Palash Nandy (1 shared paper)Junning Liu (1 shared paper)James Davidson (1 shared paper)M.L. Lambert (1 shared paper)Ullas Gargi (1 shared paper)Jiawei Han (2 shared papers)Senqiang Zhou (2 shared papers)Ke Wang (2 shared papers)
- Journals
- Green Chemistry (2 papers)Animal Genetics (2 papers)IEEE Access (2 papers)Nature Ecology & Evolution (2 papers)Chemosphere (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yu He
74 papers receiving 2.2k citations
Yu He's Hit Papers
Peers
Comparison fields: 5 of 178
- Information Systems 807
- Biophysics 98
- Artificial Intelligence 535
- Signal Processing 160
- Computer Vision and Pattern Recognition 299
Countries citing papers authored by Yu He
This map shows the geographic impact of Yu He'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 Yu He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu He more than expected).
Fields of papers citing papers by Yu He
This network shows the impact of papers produced by Yu He. 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 Yu He. The network helps show where Yu He may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu He, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The YouTube video recommendation system Hit paper breakdown → | 2010 | 741 |
| 2 | 2015 | 255 | |
| 3 | 2020 | 145 | |
| 4 | 2019 | 83 | |
| 5 | 2021 | 77 | |
| 6 | Mining Frequent Itemsets Using Support Constraints | 2000 | 77 |
| 7 | 2000 | 72 | |
| 8 | 2003 | 54 | |
| 9 | 2006 | 46 | |
| 10 | 2001 | 45 | |
| 11 | Statistical significance of the Netflix challenge | 2016 | 43 |
| 12 | 2022 | 40 | |
| 13 | 2023 | 39 | |
| 14 | 2001 | 38 | |
| 15 | 2022 | 34 | |
| 16 | 2013 | 34 | |
| 17 | 2022 | 33 | |
| 18 | 2018 | 31 | |
| 19 | 2023 | 29 | |
| 20 | 2018 | 26 |
About Yu He
Yu He is a scholar working on Artificial Intelligence, Genetics, Information Systems, Molecular Biology and Electrical and Electronic Engineering, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (5 papers), Genetic diversity and population structure (5 papers), Algorithms and Data Compression (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Forensic and Genetic Research (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Meteorological Phenomena and Simulations (4 papers). The work is most often cited by research in Information Systems (807 citations), Biophysics (98 citations), Artificial Intelligence (535 citations), Signal Processing (160 citations) and Computer Vision and Pattern Recognition (299 citations). Yu He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Palash Nandy, Junning Liu, James Davidson, M.L. Lambert, Ullas Gargi, Jiawei Han, Senqiang Zhou, Ke Wang, Ke Wang and Ke Wang. Their work appears in journals such as Green Chemistry, Animal Genetics, IEEE Access, Nature Ecology & Evolution and Chemosphere.
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.