Yanglan Ou

1000 citations
2 papers · 358 · 1 hit paper · h-index 2

Impact in

Papers in

Journals
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
Partner nations
United StatesIsrael

In The Last Decade

Yanglan Ou

2 papers receiving 350 citations

Yanglan Ou's Hit Papers

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting 2021 · 351 citations
3510+1+3Years since publication100200300

Peers

Yanglan Ou
Comparison fields: 5 of 32
  • Automotive Engineering 265
  • Safety, Risk, Reliability and Quality 105
  • Computer Vision and Pattern Recognition 169
  • Building and Construction 97
  • Signal Processing 46
Replace Liushuai Shi with:
Liushuai Shi China
Zikang Zhou China
Junru Gu China
Yifei Xu China
Nachiket Deo United States
Anirudh Vemula United States
Zoey Yang Germany
Kaouther Messaoud France
Christoph Hermes Germany
Apratim Bhattacharyya Germany
Yanglan Ou relative to Liushuai Shi China Liushuai Shi's profile →
Citations per field
00.5×1.5×
Liushuai Shi · 1×
Citations per year

Countries citing papers authored by Yanglan Ou

Since Specialization
Citations

This map shows the geographic impact of Yanglan Ou'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 Yanglan Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanglan Ou more than expected).

Fields of papers citing papers by Yanglan Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanglan Ou. 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 Yanglan Ou. The network helps show where Yanglan Ou may publish in the future.

Co-authors

The 7 scholars most cited alongside Yanglan Ou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanglan Ou Line = papers co-authored together Yanglan Ou links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Hit paper breakdown →
2021351
2 20207

About Yanglan Ou

Yanglan Ou is a scholar working on Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition, Epidemiology and Infectious Diseases, having authored 2 papers that have together received 358 indexed citations. Recurring topics across this work include AI in cancer detection (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Cervical Cancer and HPV Research (1 paper), Video Surveillance and Tracking Methods (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Automotive Engineering (265 citations), Safety, Risk, Reliability and Quality (105 citations), Computer Vision and Pattern Recognition (169 citations), Building and Construction (97 citations) and Signal Processing (46 citations). Yanglan Ou has collaborated with scholars based in United States and Israel. Frequent co-authors include Ye Yuan, Kris Kitani, Xinshuo Weng, Jia Li, Xiaolei Huang, Tao Xu and Yuan Xue. Their work appears in journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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.

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