Yang Ye

68 papers receiving 978 citations

Yang Ye's Hit Papers

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection 2024 · 73 citations
730+1Years since publication204060

Peers

Yang Ye
Comparison fields: 5 of 164
  • Modeling and Simulation 77
  • Environmental Engineering 152
  • Biochemistry 57
  • Pathology and Forensic Medicine 118
  • Global and Planetary Change 121
Replace Hongling Wang with:
Hongling Wang China
Mohamed Cherkaoui Morocco
Alysha De Livera Australia
Yuqin Jiang United States
Yongdai Kim South Korea
Xiaoqian Hu China
Lijian Yang United States
Yongbin Wang China
Jin Zhou China
Yang Ye relative to Hongling Wang China Hongling Wang's profile →
Citations per field
00.5×5.3×
Hongling Wang · 1×
Citations per year

Countries citing papers authored by Yang Ye

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang Ye Line = papers co-authored together Yang Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020159
2 202288
3
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Hit paper breakdown →
202473
4
Factors affecting the utilization of antenatal care services among women in Kham District, Xiengkhouang province, Lao PDR.
201064
5 200860
6 202149
7 202246
8 201145
9 202342
10 202038
11 200727
12 202121
13 201317
14
Latent Features in Automatic Tense Translation between Chinese and English
200616
15 202215
16 202314
17 201214
18 202213
19 202113
20 202312

About Yang Ye

Yang Ye is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine, Information Systems, Infectious Diseases and Food Science, having authored 83 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (9 papers), Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), COVID-19 epidemiological studies (6 papers), Phytochemicals and Antioxidant Activities (5 papers), Heavy Metals in Plants (4 papers), Food Quality and Safety Studies (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Modeling and Simulation (77 citations), Environmental Engineering (152 citations), Biochemistry (57 citations), Pathology and Forensic Medicine (118 citations) and Global and Planetary Change (121 citations). Yang Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daniel Zeng, Qingpeng Zhang, Zhidong Cao, Haifeng Jia, Dingkun Yin, Changqing Xu, Xia Li, Md. Harun‐Or‐Rashid, Yoshitoku Yoshida and Junichi Sakamoto. Their work appears in journals such as Journal of the Science of Food and Agriculture, Food Chemistry X, Foods, LWT and Sustainability.

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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