Nini Liu

510 citations
21 papers · 404 · h-index 8

Impact in

Papers in

Nini Liu

20 papers receiving 386 citations

Peers

Nini Liu
Comparison fields: 5 of 78
  • Pharmacology 173
  • Human-Computer Interaction 50
  • Computer Vision and Pattern Recognition 144
  • Oncology 86
  • Biomedical Engineering 126
Replace Mingyi Shi with:
Mingyi Shi China
Charles Bergeron United States
Rachel L. Jones United Kingdom
Yamei Li China
Michael Wayne Goodman United States
Ajeet Kumar Singh India
Andreas Maunz Switzerland
Ting Shu China
Nobutoshi Ojima Japan
Nini Liu relative to Mingyi Shi China Mingyi Shi's profile →
Citations per field
00.5×6.2×
Mingyi Shi · 1×
Citations per year

Countries citing papers authored by Nini Liu

Since Specialization
Citations

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

Fields of papers citing papers by Nini Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nini Liu, 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 Nini Liu Line = papers co-authored together Nini Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000200
2 201162
3 201034
4 201331
5
[A novel GJA8 mutation in a Chinese family with autosomal dominant congenital cataract].
200817
6 201813
7 20139
8 20238
9 20117
10 20164
11 20183
12 20093
13 20233
14 20132
15 20172
16
Development and Evaluation of the Chronic Constipation PRO Rating Scale(CC-PRO)
20121
17 20171
18 20171
19 20111
20
[Reference value and clinical correlates of soluble ST2 in healthy community-based Chinese population].
20151

About Nini Liu

Nini Liu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Molecular Biology, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 21 papers that have together received 404 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (6 papers), Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (3 papers), Robotics and Sensor-Based Localization (2 papers), Heart Failure Treatment and Management (2 papers), Advanced Neural Network Applications (2 papers), Hand Gesture Recognition Systems (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Pharmacology (173 citations), Human-Computer Interaction (50 citations), Computer Vision and Pattern Recognition (144 citations), Oncology (86 citations) and Biomedical Engineering (126 citations). Nini Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yap‐Peng Tan, Anthony Y.H. Lu, Regina W. Wang, William M. Atkins, Deborah J. Newton, Jiwen Lu, Jianxin Wu, James M. Rehg, Christopher Geyer and Ying-chuan Fan. Their work appears in journals such as Quality Management in Health Care, Neurourology and Urodynamics, Biotechnology and Applied Biochemistry, International Journal of Heat and Technology and IEEE Signal Processing Letters.

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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