Ying He

1.5k total citations · 1 hit paper
73 papers, 998 citations indexed

About

Ying He is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ying He has authored 73 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 28 papers in Electrical and Electronic Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Ying He's work include Vehicular Ad Hoc Networks (VANETs) (16 papers), Blockchain Technology Applications and Security (9 papers) and IoT and Edge/Fog Computing (8 papers). Ying He is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (16 papers), Blockchain Technology Applications and Security (9 papers) and IoT and Edge/Fog Computing (8 papers). Ying He collaborates with scholars based in China, Canada and United States. Ying He's co-authors include F. Richard Yu, Jianqiang Li, Qiuzhen Lin, Zhong Ming, Victor C. M. Leung, Chao Qiu, Changle Li, Jianmin Liu, Daochun Qin and Pengbo Si and has published in prestigious journals such as Chemical Engineering Journal, IEEE Access and IEEE Transactions on Wireless Communications.

In The Last Decade

Ying He

61 papers receiving 966 citations

Hit Papers

Parts-per-quadrillion level gas molecule detection: CO-LI... 2025 2026 2025 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying He China 17 482 373 260 198 95 73 998
Bingcai Chen China 17 306 0.6× 402 1.1× 66 0.3× 133 0.7× 109 1.1× 62 849
Azana Hafizah Mohd Aman Malaysia 19 763 1.6× 487 1.3× 334 1.3× 223 1.1× 36 0.4× 86 1.4k
Shuangshuang Han China 17 229 0.5× 418 1.1× 91 0.3× 116 0.6× 44 0.5× 74 767
Deyun Gao China 23 1.5k 3.1× 934 2.5× 139 0.5× 153 0.8× 62 0.7× 148 1.9k
Yuxin Wang China 17 262 0.5× 265 0.7× 175 0.7× 137 0.7× 62 0.7× 110 1.3k
Qimei Chen China 21 704 1.5× 920 2.5× 63 0.2× 151 0.8× 123 1.3× 126 1.4k
Yujue Wang China 21 213 0.4× 644 1.7× 461 1.8× 512 2.6× 24 0.3× 101 1.3k
Zhao Zhang China 21 697 1.4× 265 0.7× 99 0.4× 285 1.4× 26 0.3× 88 1.4k

Countries citing papers authored by Ying He

Since Specialization
Citations

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

Fields of papers citing papers by Ying He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying He

This figure shows the co-authorship network connecting the top 25 collaborators of Ying He. A scholar is included among the top collaborators of Ying 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 Ying He. Ying 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.
He, Ying, et al.. (2025). A Review of Human Emotion Synthesis Based on Generative Technology. IEEE Transactions on Affective Computing. 16(4). 2579–2598. 2 indexed citations
2.
Sun, Haiyue, Shunda Qiao, Ying He, Xiaogang Sun, & Yufei Ma. (2025). Parts-per-quadrillion level gas molecule detection: CO-LITES sensing. Light Science & Applications. 14(1). 180–180. 39 indexed citations breakdown →
3.
Yu, Xi, Xiaobei Jin, Ying He, et al.. (2024). Eco-friendly bamboo pulp foam enabled by chitosan and phytic acid interfacial assembly of halloysite nanotubes: Toward flame retardancy, thermal insulation, and sound absorption. International Journal of Biological Macromolecules. 260. 129393–129393. 18 indexed citations
4.
Yu, F. Richard, et al.. (2024). A Novel Internet of Things Web Attack Detection Architecture Based on the Combination of Symbolism and Connectionism AI. IEEE Internet of Things Journal. 11(11). 19823–19837. 4 indexed citations
5.
He, Lu, Xiaofeng Zhang, Xiaobei Jin, et al.. (2024). A green and eco-friendly method to enhance Bamboo flame resistance via calcium alginate assisted in-situ mineralization of hydroxyapatite. Chemical Engineering Journal. 485. 149765–149765. 26 indexed citations
6.
Yu, F. Richard, et al.. (2024). A Deep Learning System for Detecting IoT Web Attacks With a Joint Embedded Prediction Architecture (JEPA). IEEE Transactions on Network and Service Management. 21(6). 6885–6898. 1 indexed citations
7.
He, Ying, et al.. (2024). Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance. 1802–1810. 1 indexed citations
8.
He, Lu, et al.. (2023). An inorganic hydrophobic layer connected by rivets endows the bamboo with high fire retardant, mechanical, and mold-proof properties. Industrial Crops and Products. 202. 117110–117110. 10 indexed citations
9.
He, Ying, et al.. (2023). IGG: Improved Graph Generation for Domain Adaptive Object Detection. Lirias (KU Leuven). 1314–1324. 7 indexed citations
10.
He, Ying, et al.. (2023). A novel molecular docking program based on a multi-swarm competitive algorithm. Swarm and Evolutionary Computation. 78. 101292–101292. 11 indexed citations
11.
12.
He, Ying, et al.. (2022). An HTTP Anomaly Detection Architecture Based on the Internet of Intelligence. IEEE Transactions on Cognitive Communications and Networking. 8(3). 1552–1565. 3 indexed citations
13.
He, Ying, et al.. (2022). Meta-Hierarchical Reinforcement Learning (MHRL)-Based Dynamic Resource Allocation for Dynamic Vehicular Networks. IEEE Transactions on Vehicular Technology. 71(4). 3495–3506. 48 indexed citations
14.
Jin, Xiaobei, Rong Zhang, Daochun Qin, et al.. (2022). An eco-friendly and effective approach based on bio-based substances and halloysite nanotubes for fire protection of bamboo fiber/polypropylene composites. Journal of Materials Research and Technology. 17. 3138–3149. 16 indexed citations
15.
He, Ying, et al.. (2021). Efficient Resource Allocation for Multi-Beam Satellite-Terrestrial Vehicular Networks: A Multi-Agent Actor-Critic Method With Attention Mechanism. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2727–2738. 39 indexed citations
16.
He, Ying, et al.. (2021). Bift: A Blockchain-Based Federated Learning System for Connected and Autonomous Vehicles. IEEE Internet of Things Journal. 9(14). 12311–12322. 54 indexed citations
17.
Chakraborty, Nilesh, Jianqiang Li, Chengwen Luo, et al.. (2021). RTT-Based Rogue UAV Detection in IoV Networks. IEEE Internet of Things Journal. 9(8). 5909–5919. 9 indexed citations
18.
He, Ying, et al.. (2021). Scholar-type CEOs and Stock Price Crash Risk of Listed Companies. 23(4). 121–137. 1 indexed citations
19.
He, Ying, et al.. (2020). Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach. IEEE Internet of Things Journal. 8(4). 2226–2237. 128 indexed citations
20.
He, Ying, et al.. (2018). Securing Cognitive Radio Vehicular Ad Hoc Networks with Fog Computing.. 40. 73–95. 4 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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