Zhong Su
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Artificial Intelligence top 0.5%
- Topic Modeling
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 20
- Advanced Text Analysis Techniques 16
- Sentiment Analysis and Opinion Mining 15
- Text and Document Classification Technologies 13
- Target Tracking and Data Fusion in Sensor Networks 13
- Journals
- Sensors (11 papers)IEEE Access (8 papers)Defence Technology (3 papers)Applied Sciences (3 papers)Measurement (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhong Su
143 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Statistical and Nonlinear Physics 935
- Artificial Intelligence 2.3k
- Information Systems 1.5k
- Computer Science Applications 178
- Computer Vision and Pattern Recognition 566
Countries citing papers authored by Zhong Su
This map shows the geographic impact of Zhong Su'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 Zhong Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong Su more than expected).
Fields of papers citing papers by Zhong Su
This network shows the impact of papers produced by Zhong Su. 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 Zhong Su. The network helps show where Zhong Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhong Su, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 4 | |
| 15 | Research on paraboloid-shaped resonator of novel solid vibratory gyroscope | 2015 | 2 |
| 16 | 2015 | 42 | |
| 17 | Sentence Compression for Target-Polarity Word Collocation Extraction | 2014 | 9 |
| 18 | Research on the conical resonator of a bell vibratory gyroscope under axial impact | 2014 | 1 |
| 19 | Research on the control loop for Solid Vibratory Gyroscope | 2013 | 3 |
| 20 | The Study on Attitude Algorithm of Rolling Projectile Using Geomagnetic Information | 2011 | 2 |
About Zhong Su
Zhong Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Information Systems and Statistical and Nonlinear Physics, having authored 162 papers that have together received 4.0k indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (24 papers), Topic Modeling (20 papers), Advanced Text Analysis Techniques (16 papers), Web Data Mining and Analysis (16 papers), Sentiment Analysis and Opinion Mining (15 papers), Text and Document Classification Technologies (13 papers), Advanced MEMS and NEMS Technologies (13 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (935 citations), Artificial Intelligence (2.3k citations), Information Systems (1.5k citations), Computer Science Applications (178 citations) and Computer Vision and Pattern Recognition (566 citations). Zhong Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jie Tang, Juanzi Li, Li Zhang, Limin Yao, Jing Zhang, Shenghua Bao, Yong Yu, Ben Fei, Honglei Guo and Hao Zhang. Their work appears in journals such as Sensors, IEEE Access, Defence Technology, Applied Sciences and Measurement.
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.