Liping Shen
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Science Applications top 5%
- Topics
- Birth, Development, and Health (4 papers)Thyroid Disorders and Treatments (3 papers)Ion channel regulation and function (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Liping Shen
49 papers receiving 727 citations
Peers
Comparison fields: 5 of 137
- Experimental and Cognitive Psychology 230
- Artificial Intelligence 171
- Signal Processing 112
- Computer Vision and Pattern Recognition 93
- Computer Science Applications 78
Countries citing papers authored by Liping Shen
This map shows the geographic impact of Liping Shen'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 Liping Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liping Shen more than expected).
Fields of papers citing papers by Liping Shen
This network shows the impact of papers produced by Liping Shen. 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 Liping Shen. The network helps show where Liping Shen may publish in the future.
Co-authorship network of co-authors of Liping Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Liping Shen. A scholar is included among the top collaborators of Liping Shen 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 Liping Shen. Liping Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 22 | |
| 14 | Speech Emotion Recognition Using Support Vector Machine | 157 |
| 15 | Characteristics of fine particulate matter during a typical air pollution episode in Shanghai urban area | 0 |
| 16 | Hexi 750 kV System Fault Characteristic Analysis and Its Impact on Relaying Protection | 2 |
| 17 | Affective e-Learning: Using "Emotional" Data to Improve Learning in Pervasive Learning Environment | 242 |
| 18 | Employing Pulse Accumulation Method to Improve the Ranging Performance of Anticollision Radar | 2 |
| 19 | Experimental Investigation on Porous Plate Water Sublimator under Constant Heat Flux | 1 |
| 20 | 2 |
About Liping Shen
Liping Shen is a scholar working on Obstetrics and Gynecology, Computer Science Applications and Complementary and alternative medicine, having authored 54 papers that have together received 765 indexed citations. Recurring topics across this work include Birth, Development, and Health (4 papers), Thyroid Disorders and Treatments (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (230 citations), Computer Science Applications (78 citations) and Signal Processing (112 citations). Liping Shen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ruimin Shen, Minjuan Wang, Huiyan Zhang, Guoming Sun, Guyu Xiao, Chunjie Zhang, Yifan Duan, Xuhui Ma, Jianyong Wang and Deyue Yan. Their work appears in journals such as Scientific Reports, Journal of Membrane Science and Expert Systems with Applications.
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.