Tingli Su
Impact in
- Environmental Engineering top 5%
- Air Quality Monitoring and Forecasting
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Neural Networks and Applications
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 15
- Neural Networks and Applications 7
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- Energy Load and Power Forecasting 12
- Indoor and Outdoor Localization Technologies 11
- Co-authors
- Jianlei Kong (47 shared papers)Xuebo Jin (39 shared papers)Yuting Bai (46 shared papers)Xiaoyi Wang (19 shared papers)Yangyang Zheng (4 shared papers)Min Zuo (3 shared papers)Xiaoyi Wang (1 shared paper)Xuebo Jin (14 shared papers)
- Journals
- Sensors (8 papers)Applied Sciences (4 papers)Complexity (3 papers)Computational Intelligence and Neuroscience (2 papers)Agronomy (2 papers)
- Partner nations
- ChinaUnited KingdomTaiwan
In The Last Decade
Tingli Su
72 papers receiving 1.7k citations
Tingli Su's Hit Papers
Peers
Comparison fields: 5 of 135
- Environmental Engineering 279
- Artificial Intelligence 443
- Control and Systems Engineering 300
- Signal Processing 118
- Plant Science 381
Countries citing papers authored by Tingli Su
This map shows the geographic impact of Tingli 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 Tingli Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingli Su more than expected).
Fields of papers citing papers by Tingli Su
This network shows the impact of papers produced by Tingli 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 Tingli Su. The network helps show where Tingli Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingli 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
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture Hit paper breakdown → | 2019 | 331 |
| 2 | 2021 | 129 | |
| 3 | 2022 | 101 | |
| 4 | 2021 | 93 | |
| 5 | 2020 | 85 | |
| 6 | 2020 | 78 | |
| 7 | 2023 | 76 | |
| 8 | 2022 | 72 | |
| 9 | 2023 | 70 | |
| 10 | 2022 | 61 | |
| 11 | 2019 | 56 | |
| 12 | 2023 | 48 | |
| 13 | 2018 | 44 | |
| 14 | 2023 | 40 | |
| 15 | 2020 | 39 | |
| 16 | 2021 | 36 | |
| 17 | 2016 | 34 | |
| 18 | 2020 | 33 | |
| 19 | 2019 | 31 | |
| 20 | 2020 | 23 |
About Tingli Su
Tingli Su is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (15 papers), Energy Load and Power Forecasting (12 papers), Indoor and Outdoor Localization Technologies (11 papers), Air Quality Monitoring and Forecasting (9 papers), Inertial Sensor and Navigation (8 papers), Neural Networks and Applications (7 papers), Fault Detection and Control Systems (7 papers) and Time Series Analysis and Forecasting (7 papers). The work is most often cited by research in Environmental Engineering (279 citations), Artificial Intelligence (443 citations), Control and Systems Engineering (300 citations), Signal Processing (118 citations) and Plant Science (381 citations). Tingli Su has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Jianlei Kong, Xuebo Jin, Yuting Bai, Xiaoyi Wang, Yangyang Zheng, Min Zuo, Xiaoyi Wang, Xuebo Jin, Bin Yan and Prąsun Chakrabarti. Their work appears in journals such as Sensors, Applied Sciences, Complexity, Computational Intelligence and Neuroscience and Agronomy.
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.