Jianping Wei
Impact in
- Food Science top 2%
- Fermentation and Sensory Analysis
- Food Quality and Safety Studies
- Sensory Analysis and Statistical Methods
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
- Food Science 10
- Fermentation and Sensory Analysis 10
- Food Quality and Safety Studies 2
- Sensory Analysis and Statistical Methods 2
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- Recommender Systems and Techniques 3
- Data Mining Algorithms and Applications 2
- Co-authors
- Yahong Yuan (10 shared papers)Tianli Yue (10 shared papers)Yuxiang Zhang (6 shared papers)Yuwei Wang (2 shared papers)Chen Niu (4 shared papers)Lu Dai (1 shared paper)Hong Guo (4 shared papers)Zihan Song (1 shared paper)
- Journals
- LWT (3 papers)International Journal of Machine Learning and Cybernetics (1 paper)Food Research International (1 paper)RSC Advances (1 paper)Food Chemistry (1 paper)
- Partner nations
- ChinaTunisiaUnited Kingdom
In The Last Decade
Jianping Wei
18 papers receiving 490 citations
Peers
Comparison fields: 5 of 70
- Food Science 388
- Biochemistry 123
- Tourism, Leisure and Hospitality Management 12
- Biotechnology 67
- Animal Science and Zoology 53
Countries citing papers authored by Jianping Wei
This map shows the geographic impact of Jianping Wei'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 Jianping Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianping Wei more than expected).
Fields of papers citing papers by Jianping Wei
This network shows the impact of papers produced by Jianping Wei. 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 Jianping Wei. The network helps show where Jianping Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianping Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2018 | 93 | |
| 3 | 2019 | 80 | |
| 4 | 2019 | 54 | |
| 5 | 2021 | 48 | |
| 6 | 2020 | 19 | |
| 7 | 2022 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2024 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2010 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2011 | 4 | |
| 17 | 2010 | 2 | |
| 18 | 2011 | 1 | |
| 19 | 2024 | 0 |
About Jianping Wei
Jianping Wei is a scholar working on Food Science, Information Systems, Artificial Intelligence, Plant Science and Molecular Biology, having authored 19 papers that have together received 498 indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (10 papers), Horticultural and Viticultural Research (4 papers), Advanced Graph Neural Networks (3 papers), Recommender Systems and Techniques (3 papers), Food Quality and Safety Studies (2 papers), Biochemical and biochemical processes (2 papers), Sensory Analysis and Statistical Methods (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Food Science (388 citations), Biochemistry (123 citations), Tourism, Leisure and Hospitality Management (12 citations), Biotechnology (67 citations) and Animal Science and Zoology (53 citations). Jianping Wei has collaborated with scholars based in China, Tunisia and United Kingdom. Frequent co-authors include Yahong Yuan, Tianli Yue, Yuxiang Zhang, Yuwei Wang, Chen Niu, Lu Dai, Hong Guo, Zihan Song, Yue Qiu and Zhouli Wang. Their work appears in journals such as LWT, International Journal of Machine Learning and Cybernetics, Food Research International, RSC Advances and Food Chemistry.
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.