Long Cheng

1.5k total citations · 1 hit paper
59 papers, 987 citations indexed

About

Long Cheng is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Long Cheng has authored 59 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 23 papers in Artificial Intelligence and 15 papers in Signal Processing. Recurrent topics in Long Cheng's work include Energy Efficient Wireless Sensor Networks (15 papers), Mobile Ad Hoc Networks (14 papers) and Network Security and Intrusion Detection (12 papers). Long Cheng is often cited by papers focused on Energy Efficient Wireless Sensor Networks (15 papers), Mobile Ad Hoc Networks (14 papers) and Network Security and Intrusion Detection (12 papers). Long Cheng collaborates with scholars based in United States, China and Canada. Long Cheng's co-authors include Danfeng Yao, Hongxin Hu, Guojun Peng, Linghe Kong, Ya Xiao, Ke Tian, Guihai Chen, Yu Gu, Min Tan and Zeng‐Guang Hou and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Wireless Communications and IEEE Transactions on Industrial Informatics.

In The Last Decade

Long Cheng

58 papers receiving 958 citations

Hit Papers

align trajectories

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.

Deep Learning-based Anomaly Detection in Cyber-physical Systems

2021 158 citations Long Cheng, Guojun Peng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long Cheng United States	18	598	395	226	210	194	59	987
Nikos Komninos United Kingdom	17	750 1.3×	343 0.9×	284 1.3×	252 1.2×	353 1.8×	60	1.1k
Hao Yue United States	18	476 0.8×	474 1.2×	473 2.1×	90 0.4×	228 1.2×	57	1.1k
Roksana Boreli Australia	15	786 1.3×	509 1.3×	290 1.3×	395 1.9×	317 1.6×	54	1.2k
Haiyong Bao China	15	342 0.6×	522 1.3×	246 1.1×	60 0.3×	289 1.5×	46	864
Abdelmadjid Bouabdallah France	13	842 1.4×	410 1.0×	291 1.3×	193 0.9×	541 2.8×	24	1.3k
Shang Gao Hong Kong	16	424 0.7×	429 1.1×	115 0.5×	135 0.6×	313 1.6×	41	867
Harsha Kalutarage United Kingdom	12	411 0.7×	307 0.8×	167 0.7×	268 1.3×	206 1.1×	43	825
Suleyman Uludag United States	19	879 1.5×	215 0.5×	510 2.3×	92 0.4×	189 1.0×	63	1.3k
Magnus Almgren Sweden	18	609 1.0×	276 0.7×	516 2.3×	152 0.7×	133 0.7×	84	999

Countries citing papers authored by Long Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Long Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Cheng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Cheng, Long, Weizhong Lu, Hui Zhang, et al.. (2025). ProAttUnet: Advancing protein secondary structure prediction with deep learning via U-Net dual-pathway feature fusion and ESM2 pretrained protein language model. Computational Biology and Chemistry. 118. 108429–108429. 1 indexed citations

2.

Luo, Chengwen, Y. Huang, Jin Zhang, et al.. (2025). LaserKey: Eavesdropping Keyboard Typing Leveraging Vibrational Emanations via Laser Sensing. IEEE Transactions on Mobile Computing. 24(6). 4829–4844.

3.

Vishwamitra, Nishant, et al.. (2025). AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab. 12(1). 8–8. 1 indexed citations

4.

Cheng, Long, et al.. (2024). WIP: Hidden Hub Eavesdropping Attack in Matter-enabled Smart Home Systems. 1 indexed citations

5.

Zhang, C., et al.. (2024). Decoding and Answering Developers' Questions About Web Services Managed by Marketplaces. 194–203. 1 indexed citations

6.

Vishwamitra, Nishant, et al.. (2024). Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models. 788–806. 4 indexed citations

7.

Cheng, Long, et al.. (2024). FreeEM: Uncovering Parallel Memory EMR Covert Communication in Volatile Environments. 372–384. 2 indexed citations

8.

Cheng, Long, et al.. (2024). A Survey on Network Attack Surface Mapping. 5(2). 1–25. 3 indexed citations

9.

Anderson, John, et al.. (2023). A Zero-Trust Architecture for Connected and Autonomous Vehicles. IEEE Internet Computing. 27(5). 7–14. 11 indexed citations

10.

Li, Qi, et al.. (2022). TrafficSpy: Disaggregating VPN-encrypted IoT Network Traffic for User Privacy Inference. 145–153. 1 indexed citations

11.

Cheng, Long, Thomas Nyman, Haipeng Cai, et al.. (2021). Exploitation Techniques for Data-oriented Attacks with Existing and Potential Defense Approaches. ACM Transactions on Privacy and Security. 24(4). 1–36. 12 indexed citations

12.

Cheng, Long, Linghe Kong, Yongjia Song, et al.. (2020). Adaptive Forwarding With Probabilistic Delay Guarantee in Low-Duty-Cycle WSNs. IEEE Transactions on Wireless Communications. 19(7). 4775–4792. 8 indexed citations

13.

Cheng, Long, et al.. (2020). Context-Rich Privacy Leakage Analysis Through Inferring Apps in Smart Home IoT. IEEE Internet of Things Journal. 8(4). 2736–2750. 18 indexed citations

14.

Huang, Junqin, Linghe Kong, Guihai Chen, et al.. (2019). B-IoT: Blockchain Driven Internet of Things with Credit-Based Consensus Mechanism. 32 indexed citations

15.

Liu, Yutong, et al.. (2018). Stop Unauthorized Access to Your Smart Devices. 3 indexed citations

16.

Cheng, Long, Ke Tian, & Danfeng Yao. (2017). Orpheus. 315–326. 52 indexed citations

17.

Yu, Xiaosheng, Ming Xu, Long Cheng, & Nan Hu. (2015). A novel coverage holes detection and holes recovery algorithm in wireless sensor networks. 33. 3640–3644. 8 indexed citations

18.

Wu, Chengdong, Long Cheng, & Yunzhou Zhang. (2012). Node Redeployment for Effective Prolong Maintenance Period in Wireless Sensor Networks. IEICE Transactions on Communications. E95.B(10). 3179–3186. 2 indexed citations

19.

Cheng, Long, Jiannong Cao, Canfeng Chen, Jian Ma, & Sajal K. Das. (2010). Exploiting geographic opportunistic routing for soft QoS provisioning in wireless sensor networks. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 292–301. 18 indexed citations

20.

Cheng, Long, Yang Chen, Jie Ma, et al.. (2010). Efficient Query-Based Data Collection for Mobile Wireless Monitoring Applications. The Computer Journal. 53(10). 1643–1657. 8 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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