Ya Jing

1.1k total citations
21 papers, 485 citations indexed

About

Ya Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ya Jing has authored 21 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Ya Jing's work include Multimodal Machine Learning Applications (11 papers), Human Pose and Action Recognition (5 papers) and Video Surveillance and Tracking Methods (3 papers). Ya Jing is often cited by papers focused on Multimodal Machine Learning Applications (11 papers), Human Pose and Action Recognition (5 papers) and Video Surveillance and Tracking Methods (3 papers). Ya Jing collaborates with scholars based in China, Netherlands and Singapore. Ya Jing's co-authors include Liang Wang, Tieniu Tan, Antoon F.M. Moorman, Wouter H. Lamers, Gerry T. M. Wagenaar, Hongfeng Zhao, Tieniu Tan, Tao Kong, Wei Wang and Chenyang Si and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Ya Jing

21 papers receiving 477 citations

Peers

Ya Jing
Subo Gong China
Cong Yang China
Jun Shi China
Qiao Gu China
Jiwon Shin South Korea
SJ Li China
Subo Gong China
Ya Jing
Citations per year, relative to Ya Jing Ya Jing (= 1×) peers Subo Gong

Countries citing papers authored by Ya Jing

Since Specialization
Citations

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

Fields of papers citing papers by Ya Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Jing. A scholar is included among the top collaborators of Ya Jing 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 Ya Jing. Ya Jing 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
1.
Jing, Ya, et al.. (2024). Memory-Adaptive Vision-and-Language Navigation. Pattern Recognition. 153. 110511–110511. 4 indexed citations
2.
Jing, Ya, et al.. (2023). Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods. 11390–11395. 5 indexed citations
3.
Jing, Ya & Tao Kong. (2023). Learning to Explore Informative Trajectories and Samples for Embodied Perception. 6050–6056. 4 indexed citations
4.
Jing, Ya, et al.. (2023). MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation. 6847–6852. 8 indexed citations
5.
Zheng, Duo, Tao Kong, Ya Jing, Jiaan Wang, & Xiaojie Wang. (2022). Towards Unifying Reference Expression Generation and Comprehension. 6598–6611. 3 indexed citations
6.
Jing, Ya, Tao Kong, Wei Wang, et al.. (2021). Locate then Segment: A Strong Pipeline for Referring Image Segmentation. 9853–9862. 85 indexed citations
7.
Jing, Ya, Yifan Xu, Gang Wang, & Hongfeng Zhao. (2021). Cadmium induced skeletal underdevelopment, liver cell apoptosis and hepatic energy metabolism disorder in Bufo gargarizans larvae by disrupting thyroid hormone signaling. Ecotoxicology and Environmental Safety. 211. 111957–111957. 16 indexed citations
8.
Jing, Ya, Wei Wang, Liang Wang, & Tieniu Tan. (2021). Learning Aligned Image-Text Representations Using Graph Attentive Relational Network. IEEE Transactions on Image Processing. 30. 1840–1852. 11 indexed citations
11.
Si, Chenyang, Ya Jing, Wei Wang, Liang Wang, & Tieniu Tan. (2020). Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network. Pattern Recognition. 107. 107511–107511. 67 indexed citations
12.
Jing, Ya, Wei Wang, Liang Wang, & Tieniu Tan. (2020). Cross-Modal Cross-Domain Moment Alignment Network for Person Search. 10675–10683. 21 indexed citations
14.
Jing, Ya, Chenyang Si, Junbo Wang, et al.. (2018). Pose-Guided Joint Global and Attentive Local Matching Network for Text-Based Person Search. arXiv (Cornell University). 8 indexed citations
15.
Jing, Ya, Chenyang Si, Junbo Wang, et al.. (2018). Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection.. arXiv (Cornell University). 5 indexed citations
16.
Lin, Tao, Yun Zhao Chen, Yu Dong, et al.. (2016). Preoperative Body Mass Index, Blood Albumin and Triglycerides Predict Survival for Patients with Gastric Cancer. PLoS ONE. 11(6). e0157401–e0157401. 51 indexed citations
17.
Fu, Shihong, Huanyu Wang, Weibin Liu, et al.. (2006). [Isolation and identification of Japanese encephalitis virus in Liaoning Province].. PubMed. 20(1). 61–5. 5 indexed citations
18.
Franco, Diego, et al.. (1999). Myosin light chain 2a and 2v identifies the embryonic outflow tract myocardium in the developing rodent heart. The Anatomical Record. 254(1). 135–146. 57 indexed citations
19.
Franco, Diego, et al.. (1999). Myosin light chain 2a and 2v identifies the embryonic outflow tract myocardium in the developing rodent heart. The Anatomical Record. 254(1). 135–146. 3 indexed citations

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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