Jia Lv
- Food Science top 10%
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- Antimicrobial Peptides and Activities 3
- Artificial Intelligence top 10%
- Text and Document Classification Technologies 4
- Evolutionary Algorithms and Applications 3
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- Face and Expression Recognition 5
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- Evacuation and Crowd Dynamics 3
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- Gut microbiota and health 3
- Gene expression and cancer classification 3
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- Clostridium difficile and Clostridium perfringens research 3
- Journals
- Journal of Hazardous Materials (1 paper)Journal of Agricultural and Food Chemistry (1 paper)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jia Lv
47 papers receiving 478 citations
Peers
Comparison fields: 5 of 119
- Food Science 81
- Animal Science and Zoology 35
- Microbiology 21
- Artificial Intelligence 100
- Agronomy and Crop Science 29
Countries citing papers authored by Jia Lv
This map shows the geographic impact of Jia Lv'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 Jia Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Lv more than expected).
Fields of papers citing papers by Jia Lv
This network shows the impact of papers produced by Jia Lv. 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 Jia Lv. The network helps show where Jia Lv may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jia Lv, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 21 | |
| 15 | 2019 | 24 | |
| 16 | 2018 | 78 | |
| 17 | 2018 | 35 | |
| 18 | Effect of natural saline soil on organic acid accumulation in the stem and leaf of Chloris virgata and analysis of stress factors | 2015 | 1 |
| 19 | Realization of Text Classification System Based on Improved Classification Model | 2009 | 1 |
| 20 | Improvement and Application of TFIDF Method Based on Text Classification | 2006 | 26 |
About Jia Lv
Jia Lv is a scholar working on General Engineering, Microbiology and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 502 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Text and Document Classification Technologies (4 papers), Antimicrobial Peptides and Activities (3 papers), Evolutionary Algorithms and Applications (3 papers), Evacuation and Crowd Dynamics (3 papers), Gut microbiota and health (3 papers), Gene expression and cancer classification (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Food Science (81 citations), Animal Science and Zoology (35 citations) and Microbiology (21 citations). Jia Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bei Han, Zhi Sun, Qinke Peng, Xiaohong Chen, Jianbo An, Juan Wang, Yue Cheng, Jie Wei, Yingjie Tian and Dalian Liu. Their work appears in journals such as Journal of Hazardous Materials, Journal of Agricultural and Food Chemistry and Scientific Reports.
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.