Jianren Wang

23 papers receiving 1.2k citations

Hit Papers

Molecular contrastive learning of representations...2019202620212023202220192020100200300400

Peers

Jianren Wang
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 645
  • Computational Theory and Mathematics 291
  • Artificial Intelligence 285
  • Materials Chemistry 266
  • Molecular Biology 209
Replace Patrick Pfaff with:
Patrick Pfaff Germany
Qu Wang China
Xiaoqiang Zhang China
Xia Yuan China
Yoshitaka Ushiku Japan
Daming Shi China
Junjie Huang China
Yongli Zhao China
Enhui Zheng China
Jianren Wang relative to Patrick Pfaff Germany Patrick Pfaff's profile →
Citations per field
00.5×
Patrick Pfaff · 1×
Citations per year

Countries citing papers authored by Jianren Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jianren Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianren Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianren Wang. A scholar is included among the top collaborators of Jianren 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 Jianren Wang. Jianren 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
#WorkIndexed citations
1 3
2 1
3
Molecular contrastive learning of representations via graph neural networksbreakdown →
466
4 1
5
Adversarially Robust Imitation Learning
1
6 5
7
Sequential Forecasting of 100,000 Points
4
8
3D Multi-Object Tracking: A Baseline and New Evaluation Metricsbreakdown →
311
9 26
10 5
11 3
12
Deep Multivariate Mixture of Gaussians for Object Detection under Occlusion
1
13
Bounding Box Regression With Uncertainty for Accurate Object Detectionbreakdown →
376
14 3
15 1
16 1
17 1
18 7
19
Research on Web Service Discovery Model Based QoS
0
20
DETERMINATION OF LAYER MODULI IN PAVEMENT SYSTEMS BY NONDESTRUCTIVE TESTING
2

About Jianren Wang

Jianren Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (5 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (645 citations), Computational Theory and Mathematics (291 citations) and Automotive Engineering (125 citations). Jianren Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yuyang Wang, Zhonglin Cao, Amir Barati Farimani, Yihui He, David Held, Xinshuo Weng, Kris Kitani, Xiangyu Zhang, Marios Savvides and Chenchen Zhu. Their work appears in journals such as Information Sciences, Transportation Research Record Journal of the Transportation Research Board and Nature Machine Intelligence.

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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