Yunbo Wang

3.0k total citations · 3 hit papers
27 papers, 1.6k citations indexed

About

Yunbo Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yunbo Wang has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yunbo Wang's work include Human Pose and Action Recognition (12 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Advanced Vision and Imaging (5 papers). Yunbo Wang is often cited by papers focused on Human Pose and Action Recognition (12 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Advanced Vision and Imaging (5 papers). Yunbo Wang collaborates with scholars based in China, United States and Hong Kong. Yunbo Wang's co-authors include Mingsheng Long, Jianmin Wang, Philip S. Yu, Zhifeng Gao, Jianjin Zhang, Hongyu Zhu, Haixu Wu, Lu Jiang, Li Fei-Fei and Li-Jia Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Building and Environment and Information Processing & Management.

In The Last Decade

Yunbo Wang

24 papers receiving 1.6k citations

Hit Papers

PredRNN: recurrent neural networks for predictive learnin... 2017 2026 2020 2023 2017 2022 2019 100 200 300 400

Peers

Yunbo Wang
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 707
  • Atmospheric Science 444
  • Artificial Intelligence 407
  • Global and Planetary Change 329
  • Environmental Engineering 175
Replace Jian Kang with:
Jian Kang China
Mingmin Chi China
Yilei Shi Germany
Hui Wu China
Haigang Sui China
Lei Bai China
Farhad Samadzadegan Iran
Peng Ren China
Bertrand Le Saux Italy
Fan Wu China
Jian Kang China View profile →
Citations per field, relative to Yunbo Wang
Yunbo Wang · 1×
Citations per year, relative to Yunbo Wang
Yunbo Wang · 1×

Countries citing papers authored by Yunbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunbo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunbo Wang. A scholar is included among the top collaborators of Yunbo Wang 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 Yunbo Wang. Yunbo Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 11
5 1
6 2
7
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning breakdown →
317
8 24
9 14
10 0
11 17
12 19
13 2
14 9
15 3
16
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
111
17 16
18
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
23
19 190
20
PredRNN: recurrent neural networks for predictive learning using spatiotemporal LSTMs breakdown →
417

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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