Shuyang Cheng
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Safety, Risk, Reliability and Quality top 5%
- Building and Construction top 10%
- Co-authors
- Benjamin CaineZoey YangAlexander P. McCauleyChenxi LiuJiquan NgiamJonathon ShlensDragomir AnguelovScott Ettinger
- Topics
- Plant Molecular Biology Research (2 papers)Colorectal Cancer Screening and Detection (2 papers)Inflammatory Bowel Disease (2 papers)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaGermany
In The Last Decade
Shuyang Cheng
11 papers receiving 406 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Automotive Engineering 211
- Computer Vision and Pattern Recognition 163
- Artificial Intelligence 124
- Safety, Risk, Reliability and Quality 76
- Building and Construction 62
Countries citing papers authored by Shuyang Cheng
This map shows the geographic impact of Shuyang Cheng'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 Shuyang Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuyang Cheng more than expected).
Fields of papers citing papers by Shuyang Cheng
This network shows the impact of papers produced by Shuyang Cheng. 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 Shuyang Cheng. The network helps show where Shuyang Cheng may publish in the future.
Co-authorship network of co-authors of Shuyang Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Shuyang Cheng. A scholar is included among the top collaborators of Shuyang Cheng 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 Shuyang Cheng. Shuyang Cheng 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 | 3 | |
| 3 | 4 | |
| 4 | 30 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Datasetbreakdown → | 300 |
| 10 | 64 | |
| 11 | Query Clustering Based on Content and User Behavior | 1 |
About Shuyang Cheng
Shuyang Cheng is a scholar working on Gastroenterology, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 11 papers that have together received 418 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Automotive Engineering (211 citations), Safety, Risk, Reliability and Quality (76 citations) and Computer Vision and Pattern Recognition (163 citations). Shuyang Cheng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Benjamin Caine, Zoey Yang, Alexander P. McCauley, Chenxi Liu, Jiquan Ngiam, Jonathon Shlens, Dragomir Anguelov, Scott Ettinger, Charles R. Qi and Ben Sapp. Their work appears in journals such as Gastroenterology, Scientific Reports and Frontiers in Plant Science.
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.