Nianfeng Wan
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Transportation top 5%
- Building and Construction top 10%
- Electrical and Electronic Engineering
- Co-authors
- Ardalan VahidiAndré LuckowChen ZhangS. Alireza FayaziHamed SaeidiGregory MockoGabriel GomesMing Yang
- Topics
- Traffic control and management (9 papers)Traffic Prediction and Management Techniques (5 papers)Autonomous Vehicle Technology and Safety (5 papers)
- Journals
- Transportation Research Part C Emerging TechnologiesIEEE Transactions on Control Systems TechnologyJournal of Dynamic Systems Measurement and Control
- Partner nations
- United StatesChinaFrance
In The Last Decade
Nianfeng Wan
13 papers receiving 333 citations
Peers
Comparison fields: 5 of 46
- Control and Systems Engineering 255
- Automotive Engineering 228
- Transportation 109
- Building and Construction 83
- Electrical and Electronic Engineering 71
Countries citing papers authored by Nianfeng Wan
This map shows the geographic impact of Nianfeng Wan'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 Nianfeng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nianfeng Wan more than expected).
Fields of papers citing papers by Nianfeng Wan
This network shows the impact of papers produced by Nianfeng Wan. 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 Nianfeng Wan. The network helps show where Nianfeng Wan may publish in the future.
Co-authorship network of co-authors of Nianfeng Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Nianfeng Wan. A scholar is included among the top collaborators of Nianfeng Wan 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 Nianfeng Wan. Nianfeng Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 35 | |
| 3 | 193 | |
| 4 | 33 | |
| 5 | Estimation and control of traffic relying on vehicular connectivity | 1 |
| 6 | Maximum Likelihood Estimation of Vehicle Trajectory at Intersections Using Sparse Transit Bus Data | 2 |
| 7 | Prediction on Travel-Time Distribution for Freeways Using Online Expectation Maximization Algorithm | 12 |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 1 |
About Nianfeng Wan
Nianfeng Wan is a scholar working on Automotive Engineering, Transportation and Control and Systems Engineering, having authored 13 papers that have together received 344 indexed citations. Recurring topics across this work include Traffic control and management (9 papers), Traffic Prediction and Management Techniques (5 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Automotive Engineering (228 citations), Transportation (109 citations) and Control and Systems Engineering (255 citations). Nianfeng Wan has collaborated with scholars based in United States, China and France. Frequent co-authors include Ardalan Vahidi, André Luckow, Chen Zhang, S. Alireza Fayazi, Hamed Saeidi, Gregory Mocko, Gabriel Gomes, Ming Yang, Chunzhao Guo and Seiichi Mita. Their work appears in journals such as Transportation Research Part C Emerging Technologies, IEEE Transactions on Control Systems Technology and Journal of Dynamic Systems Measurement and Control.
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.