Chen Jing

607 total citations
34 papers, 347 citations indexed

About

Chen Jing is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chen Jing has authored 34 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chen Jing's work include Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers) and Heavy metals in environment (2 papers). Chen Jing is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers) and Heavy metals in environment (2 papers). Chen Jing collaborates with scholars based in China, United States and Singapore. Chen Jing's co-authors include Zhongzhou Yang, Li Wang, Xiang Gao, Tingting You, Yang Zhang, Ying Gao, Yifan Xiao, Xiao Hu, Xin Liu and Qingcai Chen and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Materials and Plant Physiology and Biochemistry.

In The Last Decade

Chen Jing

24 papers receiving 333 citations

Peers

Countries citing papers authored by Chen Jing

Since Specialization

Citations

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

Fields of papers citing papers by Chen Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Jing. A scholar is included among the top collaborators of Chen 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 Chen Jing. Chen 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	Forecasting in-core power distributions in nuclear power plants via a spatial–temporal hierarchical-directed network 2025 ·Progress in Nuclear Energy ·(unknown), Xiren Miao, Chen Jing, (unknown), (unknown), Yong Xu, Hao Jiang, (unknown)	0
2	FPGA-based design of laser gyro signal acquisition circuit 2025 ·Chen Jing, (unknown)	0
3	Effect of Plate Thickness on the Laser-Welded Microstructure and Mechanical Properties of 22MnB5 Hot-Forming Steel 2024 ·Materials ·(unknown), Xin Li, Yu Zhang, (unknown), Chen Jing, Yuting Lu, (unknown)	0
4	HPR51 Should Volume-Based Procurement Price of Comparator be Referenced for Innovative Drugs in National Reimbursement Drug List Negotiation in China? 2023 ·Value in Health ·Jing Wu, (unknown), Jian Ming, Shuli Qu, Tang Wei, Liguo Zhu, Chen Jing	1
5	Anomaly Detection Method for Online Monitoring Data of Dissolved Gas in Transformer Using Stacking Ensemble Learning 2023 ·Rui Zhao, Chen Jing, (unknown), Hao Jiang, Xiren Miao, (unknown)	1
6	Research Librarians' Experiences of Research Data Management Activities at an Academic Library in a Developing Country 2021 ·(unknown), Chen Jing, (unknown), (unknown)	11
7	A Multi-Feature Fusion Convolution Neural Network for Image Compression Artifacts Reduction 2021 ·(unknown), (unknown), Chen Jing, (unknown)	0
8	How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions 2020 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Mingda Chen, Chen Jing, (unknown), Kevin Gimpel, Manaal Faruqui, Xiance Si	5
9	Embedded electronic scale measuring system based on STM32 single chip microcomputer 2019 ·(unknown), Chen Jing, (unknown)	2
10	Innovative Pedagogical Teaching Technologies: Content and Characteristics 2018 ·Chen Jing	0
11	The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification 2018 ·Chen Jing, Qingcai Chen, Xin Liu, Haijun Yang, (unknown), Buzhou Tang	59
12	Phytotoxicity and bioaccumulation of zinc oxide nanoparticles in rice (Oryza sativa L.) 2018 ·Plant Physiology and Biochemistry ·Chen Jing, (unknown), Zhongzhou Yang, Tingting You, Xiang Gao, Li Wang	106
13	Software-Specified FPGA Accelerators for Elementary Functions 2018 ·Chen Jing, Xue Liu, Jason H. Anderson	1
14	Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction 2018 ·Chen Jing, (unknown), Xilian Li, Chen Wei, Tengjiao Wang	3
15	An Investigation of the e‐rater^® Automated Scoring Engine's Grammar, Usage, Mechanics, and Style Microfeatures and Their Aggregation Model 2017 ·ETS Research Report Series ·Chen Jing, Mo Zhang, Isaac I. Bejar	7
16	Teaching Reform on C Language Bogramming Experiment 2008 ·Chen Jing	2
17	An adaptive personalized e-learning model 2008 ·Chen Jing, (unknown)	0
18	A Complex Adaptive E-Learning Model Based on Semantic Web Services 2008 ·Chen Jing, (unknown)	3
19	Research on the technology and method of seamless edge matching of same scale maps based on ArcObjects 2007 ·Engineering of Surveying and Mapping ·Chen Jing	0
20	An algorithm for automatic registration of image 2005 ·Xiao‐Chun Li, Chen Jing	1

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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