Jing Yang

3.7k total citations · 1 hit paper
134 papers, 2.4k citations indexed

About

Jing Yang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Jing Yang has authored 134 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 28 papers in Statistical and Nonlinear Physics and 23 papers in Sociology and Political Science. Recurrent topics in Jing Yang's work include Privacy-Preserving Technologies in Data (30 papers), Complex Network Analysis Techniques (28 papers) and Privacy, Security, and Data Protection (20 papers). Jing Yang is often cited by papers focused on Privacy-Preserving Technologies in Data (30 papers), Complex Network Analysis Techniques (28 papers) and Privacy, Security, and Data Protection (20 papers). Jing Yang collaborates with scholars based in China, United States and United Kingdom. Jing Yang's co-authors include Jianpei Zhang, Erlend Nier, Amadeo Alentorn, Tanju Yorulmazer, David Miles, Zhiqiang Xie, Xu Yu, Xiaoyu Ding, Dengju Yao and Zhiqiang Xie and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Power Systems and The Economic Journal.

In The Last Decade

Jing Yang

123 papers receiving 2.2k citations

Hit Papers

Network models and financial stability 2007 2026 2013 2019 2007 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Network models and financial stability
    2007 572 citations Jing Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Yang China 24 849 835 637 365 239 134 2.4k
Maytal Saar‐Tsechansky United States 17 816 1.0× 1.2k 1.4× 630 1.0× 83 0.2× 252 1.1× 47 3.0k
Rong Zheng United States 15 757 0.9× 329 0.4× 126 0.2× 70 0.2× 356 1.5× 54 1.7k
Alain Pirotte France 24 817 1.0× 83 0.1× 835 1.3× 489 1.3× 471 2.0× 88 2.6k
Thiago Christiano Silva Brazil 23 174 0.2× 585 0.7× 689 1.1× 221 0.6× 101 0.4× 93 1.4k
David Martens Belgium 27 1.3k 1.5× 273 0.3× 195 0.3× 57 0.2× 788 3.3× 76 2.8k
Mathias Kraus Germany 19 521 0.6× 169 0.2× 182 0.3× 72 0.2× 114 0.5× 60 1.5k
Shu‐Heng Chen Taiwan 19 360 0.4× 595 0.7× 1.0k 1.6× 104 0.3× 66 0.3× 161 1.9k
Chuanren Liu United States 24 856 1.0× 102 0.1× 197 0.3× 103 0.3× 434 1.8× 94 1.9k
Diego Reforgiato Recupero Italy 30 1.6k 1.9× 149 0.2× 179 0.3× 101 0.3× 470 2.0× 187 3.0k
Huimin Zhao United States 28 951 1.1× 128 0.2× 170 0.3× 67 0.2× 431 1.8× 107 2.3k

Countries citing papers authored by Jing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yang. A scholar is included among the top collaborators of Jing Yang 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 Jing Yang. Jing Yang 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.
Wang, Yong, et al.. (2025). Prompt-matching synthesis model for missing modalities in sentiment analysis. Knowledge-Based Systems. 318. 113519–113519. 1 indexed citations
2.
3.
Wang, Yong, et al.. (2024). Local perturbation of critical subgraph based social network structural privacy protection. Knowledge-Based Systems. 301. 112318–112318.
4.
Yang, Jing, et al.. (2024). Possible development path for agricultural economic and trade cooperation in FTAAP: A numerical simulation. Journal of Asian Economics. 95. 101818–101818. 4 indexed citations
5.
6.
Wang, Yong, et al.. (2023). A heterogeneous network structure publishing security framework based on cloud-edge collaboration. Computer Networks. 234. 109947–109947. 4 indexed citations
7.
Yang, Jing, et al.. (2023). Homogeneous network publishing privacy protection based on differential privacy uncertainty. Information Sciences. 636. 118925–118925. 4 indexed citations
8.
Zhao, Meng, et al.. (2023). Dependency-enhanced graph convolutional networks for aspect-based sentiment analysis. Neural Computing and Applications. 35(19). 14195–14211. 7 indexed citations
9.
Yang, Jing, et al.. (2022). A Spatial‐Contextual Indoor Trajectory Prediction Approach via Hidden Markov Models. Wireless Communications and Mobile Computing. 2022(1). 6 indexed citations
10.
Yang, Jing, et al.. (2022). A Spatial‐Temporal‐Semantic Method for Location Prediction in Indoor Spaces. Wireless Communications and Mobile Computing. 2022(1). 3 indexed citations
11.
Yang, Jing, et al.. (2022). Indoor Trajectory Prediction for Shopping Mall via Sequential Similarity. Information. 13(3). 158–158. 6 indexed citations
12.
Xie, Zhiqiang, et al.. (2022). Resource Cooperative Integrated Scheduling Algorithm Based on Sub-tree Cycle Decomposition of Process Tree. Journal of Mechanical Engineering. 58(13). 228–228. 3 indexed citations
13.
Yang, Jing, et al.. (2021). Differentially Private Attributed Network Releasing Based on Early Fusion. Security and Communication Networks. 2021. 1–13. 4 indexed citations
14.
Yang, Jing, et al.. (2020). Differential Privacy for Weighted Network Based on Probability Model. IEEE Access. 8. 80792–80800. 7 indexed citations
15.
Zhang, Jianpei, et al.. (2018). Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias. PLoS ONE. 13(8). e0202523–e0202523. 27 indexed citations
16.
Yang, Jing. (2012). A Personalized Privacy Anonymous Method Based on Inverse Clustering. Dianzi xuebao. 3 indexed citations
17.
Yang, Jing. (2011). Effectiveness Analysis and Application in Data Streams of Cross Validation Noise-Tolerance Classification Algorithm. Dianzi xuebao. 1 indexed citations
18.
Yang, Jing. (2009). Maximum frequent itemsets mining algorithm based on improved FP-tree. Jisuanji yingyong yanjiu. 1 indexed citations
19.
Zhang, Jianpei, et al.. (2009). A Content-Based Self-Feedback E-government Network Security Model. 194–198. 1 indexed citations
20.
Yang, Jing. (2008). Semi-supervised learning algorithm with a least square support vector machine. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University. 1 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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