Shengyan Liu

53 papers receiving 946 citations

Peers

Shengyan Liu
Comparison fields: 5 of 121
  • Pharmaceutical Science 243
  • Public Health, Environmental and Occupational Health 220
  • Molecular Biology 177
  • Radiology, Nuclear Medicine and Imaging 169
  • Biomedical Engineering 139
Replace Dan Zhu with:
Dan Zhu China
Stephen Brocchini United Kingdom
Puneet Tyagi United States
Xiangyu Ma United States
Michael Johnston Canada
Yue Tang China
Mohammad Azharuddin India
Dian Li China
Zhaoyi Sun China
Shengyan Liu relative to Dan Zhu China Dan Zhu's profile →
Citations per field
00.5×1.6×
Dan Zhu · 1×
Citations per year

Countries citing papers authored by Shengyan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shengyan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengyan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shengyan Liu. A scholar is included among the top collaborators of Shengyan Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengyan Liu. Shengyan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 2
4 1
5 7
6 3
7 8
8 4
9 17
10 30
11 14
12 2
13
Lijie at ImageCLEFmed VQA-Med 2021: Attention Model-based Efficient Interaction between Multimodality.
1
14 34
15
Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task.
2
16 3
17
YNU_Wb at HASOC 2019: Ordered Neurons LSTM with Attention for Identifying Hate Speech and Offensive Language.
9
18
An Xception-GRU Model for Visual Question Answering in the Medical Domain.
5
19 34
20 150

About Shengyan Liu

Shengyan Liu is a scholar working on Pharmaceutical Science, Surfaces, Coatings and Films and Plant Science, having authored 54 papers that have together received 970 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Mechanical and Optical Resonators (5 papers) and Topic Modeling (4 papers). The work is most often cited by research in Pharmaceutical Science (243 citations), Public Health, Environmental and Occupational Health (220 citations) and Radiology, Nuclear Medicine and Imaging (169 citations). Shengyan Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Frank Gu, Lyndon Jones, Xiaobing Zhou, Mohit S. Verma, Yilin Wang, Denise Hileeto, Hao Tong, Kejie Fang, David M. Bartels and Chau‐Minh Phan. Their work appears in journals such as Nature Communications, Chemical Engineering Journal and International Journal of Molecular Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026