Cong Nie
Impact in
- Transportation top 10%
- Transportation Planning and Optimization
-
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
Papers in
- Surgery 11
- Cervical and Thoracic Myelopathy 11
-
- Target Tracking and Data Fusion in Sensor Networks 3
- Co-authors
- Liangliang Zhang (1 shared paper)Yunqing Tao (1 shared paper)Wufan Chen (1 shared paper)Yang Chen (1 shared paper)Limin Luo (1 shared paper)Xindao Yin (1 shared paper)Chaojun Zheng (16 shared papers)Wenbin Hu (2 shared papers)
- Journals
- European Spine Journal (5 papers)Clinical Neurophysiology (3 papers)Frontiers in Neurology (2 papers)World Wide Web (2 papers)Neural Computing and Applications (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Cong Nie
37 papers receiving 546 citations
Peers
Comparison fields: 5 of 109
- Transportation 42
- Radiology, Nuclear Medicine and Imaging 111
- Media Technology 37
- Building and Construction 48
- Pathology and Forensic Medicine 41
Countries citing papers authored by Cong Nie
This map shows the geographic impact of Cong Nie'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 Cong Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Nie more than expected).
Fields of papers citing papers by Cong Nie
This network shows the impact of papers produced by Cong Nie. 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 Cong Nie. The network helps show where Cong Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Nie, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 134 | |
| 2 | 2022 | 93 | |
| 3 | 2016 | 39 | |
| 4 | 2018 | 28 | |
| 5 | 2022 | 26 | |
| 6 | 2020 | 26 | |
| 7 | 2016 | 22 | |
| 8 | 2023 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 18 | |
| 11 | 2016 | 18 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2016 | 6 |
About Cong Nie
Cong Nie is a scholar working on Surgery, Artificial Intelligence, Transportation, Media Technology and Building and Construction, having authored 41 papers that have together received 554 indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (11 papers), Transportation Planning and Optimization (5 papers), Traffic Prediction and Management Techniques (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Traffic control and management (2 papers), Evaluation Methods in Various Fields (2 papers), Advanced Measurement and Detection Methods (2 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Transportation (42 citations), Radiology, Nuclear Medicine and Imaging (111 citations), Media Technology (37 citations), Building and Construction (48 citations) and Pathology and Forensic Medicine (41 citations). Cong Nie has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liangliang Zhang, Yunqing Tao, Wufan Chen, Yang Chen, Limin Luo, Xindao Yin, Chaojun Zheng, Wenbin Hu, Liping Yan and Bo Du. Their work appears in journals such as European Spine Journal, Clinical Neurophysiology, Frontiers in Neurology, World Wide Web and Neural Computing and 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.