J. Dong

2.5k total citations
3 papers, 20 citations indexed

About

J. Dong is a scholar working on Media Technology, Nuclear and High Energy Physics and Industrial and Manufacturing Engineering. According to data from OpenAlex, J. Dong has authored 3 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Media Technology, 1 paper in Nuclear and High Energy Physics and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in J. Dong's work include Image Processing Techniques and Applications (1 paper), Optimization and Packing Problems (1 paper) and Particle physics theoretical and experimental studies (1 paper). J. Dong is often cited by papers focused on Image Processing Techniques and Applications (1 paper), Optimization and Packing Problems (1 paper) and Particle physics theoretical and experimental studies (1 paper). J. Dong collaborates with scholars based in China. J. Dong's co-authors include Long-Cheng Gui, Ying Chen, Yi-Bo Yang, H. S. Xu, Sanping Zhou, Nanning Zheng, Yu‐Feng Hu and Fanyu Li and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology and Physical review. D.

In The Last Decade

J. Dong

2 papers receiving 20 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. Dong China	2	18	1	1	1	1	3	20
N. T. Hong Van Vietnam	2	18 1.0×					3	18
I. Belov Russia	3	19 1.1×					9	23
A. Papadopoulou United States	2	20 1.1×					4	20
G. Xie China	2	20 1.1×					5	22
I. Kucher France	2	20 1.1×		1 1.0×			3	21
A. Mathad Switzerland	2	20 1.1×					3	20
M. Nycz United States	2	16 0.9×					2	17
G. Nigmatkulov Russia	3	16 0.9×					25	18
Sara Fucini Italy	3	16 0.9×					5	16
M. Saur China	2	15 0.8×	1 1.0×				4	15

Countries citing papers authored by J. Dong

Since Specialization

Citations

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

Fields of papers citing papers by J. Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Dong

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

All Works

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3 of 3 papers shown

1.

Dong, J., et al.. (2025). A Novel Dense Object Detector With Scale Balanced Sample Assignment and Refinement. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9337–9350.

2.

Dong, J., et al.. (2024). Reinforcement Learning Based Container Placement Strategies. 170–174. 1 indexed citations

3.

Gui, Long-Cheng, J. Dong, Ying Chen, & Yi-Bo Yang. (2019). Study of the pseudoscalar glueball in J/ψ radiative decays. Physical review. D. 100(5). 19 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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