Chao Jing

546 total citations
25 papers, 397 citations indexed

About

Chao Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chao Jing has authored 25 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Chao Jing's work include Neural Networks and Applications (6 papers), Speech and Audio Processing (3 papers) and Advanced Adaptive Filtering Techniques (3 papers). Chao Jing is often cited by papers focused on Neural Networks and Applications (6 papers), Speech and Audio Processing (3 papers) and Advanced Adaptive Filtering Techniques (3 papers). Chao Jing collaborates with scholars based in China, Japan and United States. Chao Jing's co-authors include Jinxi Zhao, Furao Shen, Junfei Chen, Shigeo Tsujii, Hongbin Sun, Ping Wei, Nanning Zheng, Mitchell Taibleson, Can Zhao and Lijun Cheng and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and Neurocomputing.

In The Last Decade

Chao Jing

22 papers receiving 370 citations

Peers

Countries citing papers authored by Chao Jing

Since Specialization

Citations

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

Fields of papers citing papers by Chao Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Jing

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	An Efficient Supply–Demand-Aligned and Trustworthy MultiKeyword Search Scheme in Edge-Assisted IoT Environments 2025 ·IEEE Internet of Things Journal ·Xingchen Liu, Wenming Wang, (unknown), Hao Wu, Chao Jing, Zhiquan Liu, Haiping Huang	0
2	A Few-Shot Defect Detection Method for Transmission Lines Based on Meta-Attention and Feature Reconstruction 2023 ·Applied Sciences ·Yundong Shi, Haomin Wang, Chao Jing, Xingzhong Zhang	2
3	CBLA_PM: an improved ann-based power consumption prediction algorithm for multi-type jobs on heterogeneous computing server 2023 ·Cluster Computing ·Chao Jing, Jiaming Li	1
4	A thorough review of models, evaluation metrics, and datasets on image captioning 2021 ·IET Image Processing ·(unknown), Lijun Cheng, Chao Jing, Can Zhao, (unknown)	19
5	Ensemble dynamic behavior detection method for adversarial malware 2021 ·Future Generation Computer Systems ·Chao Jing, (unknown), (unknown)	15
6	Spatiotemporal neural networks for action recognition based on joint loss 2019 ·Neural Computing and Applications ·Chao Jing, Ping Wei, Hongbin Sun, Nanning Zheng	21
7	Watermarking-based Color Image Authentication with Detection and Recovery Capability 2016 ·IEEE Latin America Transactions ·(unknown), Manuel Cedillo-Hernández, Chao Jing, Mariko Nakano-Miyatake, (unknown)	10
8	Forecasting exchange rate using deep belief networks and conjugate gradient method 2015 ·Neurocomputing ·Furao Shen, Chao Jing, Jinxi Zhao	184
9	Design of Deep Belief Networks for Short‐Term Prediction of Drought Index Using Data in the Huaihe River Basin 2012 ·Mathematical Problems in Engineering ·Junfei Chen, (unknown), Chao Jing	55
10	Forecasting exchange rate with deep belief networks 2011 ·Chao Jing, Furao Shen, Jinxi Zhao	28
11	A stable and distortion-free echo and howling canceller (telephone networks) 2003 ·Chao Jing, Shigeo Tsujii	1
12	An efficient method of fuzzy rules generation 2002 ·(unknown), Li Shen, Chao Jing	3
13	A multilayer RBF network and its supervised learning 2002 ·Chao Jing, (unknown), (unknown), (unknown)	8
14	Acquisition of global topology for 3D objects with local competition 2002 ·Chao Jing, (unknown), Shigeo Tsujii	0
15	Construction of secure elliptic curves with CM tests and lifting 1998 ·Chao Jing	1
16	Schatten classes and commutators on simple martingales 1996 ·Colloquium Mathematicum ·Chao Jing, Lizhong Peng	3
17	A simple ID-based scheme for key sharing 1993 ·IEEE Journal on Selected Areas in Communications ·Shigeo Tsujii, Chao Jing, Kenji Araki	7
18	How to find global minima in finite times of search for multilayer perceptrons training 1991 ·Chao Jing, (unknown), Shigeo Tsujii	1
19	A new configuration for echo canceller adaptable during double talk periods 1989 ·IEEE Transactions on Communications ·Chao Jing, Shigeo Tsujii	11
20	A sub-regularity inequality for conjugate systems on local fields 1973 ·Studia Mathematica ·Chao Jing, Mitchell Taibleson	10

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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