Longlong Jing

3.0k citations
17 papers · 1.6k indexed · 1 hit paper · h-index 11

Longlong Jing

16 papers receiving 1.6k citations

Hit Papers

Self-Supervised Visual Feature Learning With Deep Neural ...1.2k20202026202220244008001.2k

Peers

Longlong Jing
Comparison fields: 5 of 136
  • Computer Vision and Pattern Recognition 824
  • Artificial Intelligence 749
  • Media Technology 153
  • Health Informatics 17
  • Signal Processing 101
Replace Zhenda Xie with:
Zhenda Xie China
Jia Deng China
Peng-Tao Jiang China
Xinlei Chen China
Zichen Zhang China
Zhuliang Yao China
Maxime Oquab France
Tian-Xing Xu China
Wei‐Lun Chao United States
Ralph R. Martin United Kingdom
Longlong Jing relative to Zhenda Xie China Zhenda Xie's profile →
Citations per field
00.5×10×15×21.7×
Zhenda Xie · 1×
Citations per year

Countries citing papers authored by Longlong Jing

Since Specialization
Citations

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

Fields of papers citing papers by Longlong Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Longlong Jing, 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 Longlong Jing Line = papers co-authored together Longlong Jing links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20240
2 20233
3 20238
4 202254
5 202211
6 20222
7 202148
8 202143
9 202121
10
Self-Supervised Visual Feature Learning With Deep Neural Networks: A Surveybreakdown →
20201200
11
An Isolated-Signing RGBD Dataset of 100 American Sign Language Signs Produced by Fluent ASL Signers
20203
12 202059
13 201990
14
Multi-camera Vehicle Tracking and Re-identification on AI City Challenge 2019
20195
15
Self-supervised Spatiotemporal Feature Learning by Video Geometric Transformations
201832
16 201825
17 201713

About Longlong Jing

Longlong Jing is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Artificial Intelligence and Geology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (5 papers), Multimodal Machine Learning Applications (4 papers), Hand Gesture Recognition Systems (4 papers), Hearing Impairment and Communication (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (824 citations), Artificial Intelligence (749 citations), Media Technology (153 citations), Health Informatics (17 citations) and Signal Processing (101 citations). Longlong Jing has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yingli Tian, Yucheng Chen, Jiaxing Tan, Xiaodong Yang, Zhe Wu, Yumei Huo, Hongcheng Wang, Lihong Li, Oğuz Akın and Toufiq Parag. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Language Resources and Evaluation, Computerized Medical Imaging and Graphics and Journal of Visual Communication and Image Representation.

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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