Jing He

7.2k total citations
300 papers, 3.7k citations indexed

About

Jing He is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jing He has authored 300 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 78 papers in Computer Networks and Communications and 67 papers in Information Systems. Recurrent topics in Jing He's work include Energy Efficient Wireless Sensor Networks (37 papers), Recommender Systems and Techniques (19 papers) and Complex Network Analysis Techniques (14 papers). Jing He is often cited by papers focused on Energy Efficient Wireless Sensor Networks (37 papers), Recommender Systems and Techniques (19 papers) and Complex Network Analysis Techniques (14 papers). Jing He collaborates with scholars based in China, Australia and United States. Jing He's co-authors include Guangyan Huang, Yanchun Zhang, Shouling Ji, Lianying Zhang, Xin Li, Lejian Liao, Yi Pan, Meng Han, Yingshu Li and Yong Shi and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jing He

272 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing He China 30 1.1k 1.1k 1.0k 526 499 300 3.7k
Junhao Wen China 29 1.1k 0.9× 1.3k 1.2× 906 0.9× 583 1.1× 437 0.9× 184 3.4k
Jianhua Ma Japan 32 1.5k 1.3× 961 0.9× 2.0k 2.0× 729 1.4× 723 1.4× 252 4.5k
Yunchuan Sun China 28 816 0.7× 739 0.7× 804 0.8× 368 0.7× 520 1.0× 138 2.9k
Francesco Marcelloni Italy 37 2.4k 2.1× 847 0.8× 727 0.7× 516 1.0× 636 1.3× 212 4.9k
Rongfang Bie China 28 885 0.8× 586 0.5× 899 0.9× 642 1.2× 651 1.3× 174 3.2k
Amr Tolba Saudi Arabia 33 1.2k 1.1× 1.2k 1.1× 1.5k 1.5× 515 1.0× 855 1.7× 266 4.1k
V. Subramaniyaswamy India 35 1.0k 0.9× 1.2k 1.1× 847 0.8× 913 1.7× 641 1.3× 179 4.1k
Jason J. Jung South Korea 31 1.4k 1.3× 1.3k 1.2× 775 0.8× 591 1.1× 322 0.6× 251 3.9k
Qun Jin Japan 32 2.0k 1.7× 1.2k 1.1× 1.6k 1.6× 999 1.9× 633 1.3× 314 5.2k
Haruna Chiroma Nigeria 33 1.2k 1.1× 841 0.8× 791 0.8× 411 0.8× 504 1.0× 132 3.6k

Countries citing papers authored by Jing He

Since Specialization
Citations

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

Fields of papers citing papers by Jing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing He

This figure shows the co-authorship network connecting the top 25 collaborators of Jing He. A scholar is included among the top collaborators of Jing He 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 He. Jing He 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.
Xiao, Jian, et al.. (2024). Region-assisted line drawing colorization through diffusion model. The Visual Computer. 41(8). 5769–5780. 1 indexed citations
2.
3.
Zhang, Yi, Jing He, Zhongling Pi, & Jiumin Yang. (2024). Question generation type and organizational cues in video learning: A study on their effects on online learning behaviors. Active Learning in Higher Education. 27(1). 83–103.
4.
Huang, Yao, et al.. (2023). YOLO-EP: A detection algorithm to detect eggs of Pomacea canaliculata in rice fields. Ecological Informatics. 77. 102211–102211. 17 indexed citations
5.
Ji, Yimu, et al.. (2022). DVO + LCLMF: A web service recommendation mechanism withQoSprivacy preservation. Concurrency and Computation Practice and Experience. 34(18). 1 indexed citations
6.
Han, Meng, et al.. (2021). Understanding social media beyond text: a reliable practice on Twitter. SHILAP Revista de lepidopterología. 8(1). 9 indexed citations
7.
He, Jing, et al.. (2021). Visual detection of rice rows based on Bayesian decision theory and robust regression least squares method.. International journal of agricultural and biological engineering. 14(1). 199–206. 1 indexed citations
8.
Zhou, Hao, et al.. (2020). Design and test of laser-controlled paddy field levelling-beater.. International journal of agricultural and biological engineering. 13(1). 57–65. 4 indexed citations
9.
Xie, Zhijun, et al.. (2020). An Optimal Backoff Time-Based Internetwork Interference Mitigation Method in Wireless Body Area Network. Journal of Sensors. 2020. 1–13. 3 indexed citations
10.
He, Jing, et al.. (2020). A combination model based on transfer learning for waste classification. Concurrency and Computation Practice and Experience. 32(19). 75 indexed citations
11.
Ji, Yimu, et al.. (2019). HRCM: An Efficient Hybrid Referential Compression Method for Genomic Big Data. BioMed Research International. 2019. 1–13. 12 indexed citations
12.
He, Jing, et al.. (2019). Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals. BioMed Research International. 2019. 1–19. 25 indexed citations
13.
Sharma, Shikhar, Jing He, Kaheer Suleman, Hannes Schulz, & Philip Bachman. (2017). Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data. arXiv (Cornell University). 3 indexed citations
14.
15.
Ji, Shouling, Weiqing Li, Mudhakar Srivatsa, Jing He, & Raheem Beyah. (2016). General Graph Data De-Anonymization. ACM Transactions on Information and System Security. 18(4). 1–29. 22 indexed citations
16.
Guo, Limin, et al.. (2015). DoSTra: Discovering Common Behaviors of Objects Using the Duration of Staying on Each Location of Trajectories. Victoria University Research Repository (Victoria University). 9–17. 3 indexed citations
17.
He, Jing, et al.. (2014). A Clustering-based Link Prediction Method in Social Networks.. 432–442. 5 indexed citations
18.
He, Jing, Pablo Duboue, & Jian‐Yun Nie. (2012). Bridging the Gap between Intrinsic and Perceived Relevance in Snippet Generation. International Conference on Computational Linguistics. 1129–1146. 6 indexed citations
19.
Ishikawa, Yoshiharu, Jing He, Guandong Xu, et al.. (2008). Advanced Web and NetworkTechnologies, and Applications: APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers. Lecture notes in computer science. 1 indexed citations
20.
He, Jing, et al.. (2005). Peking University at the TREC-2005 Question and Answering Track. Text REtrieval Conference. 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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