Long Cheng

1.1k total citations
39 papers, 764 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 39 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Long Cheng's work include Mobile Ad Hoc Networks (17 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Advanced Malware Detection Techniques (9 papers). Long Cheng is often cited by papers focused on Mobile Ad Hoc Networks (17 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Advanced Malware Detection Techniques (9 papers). Long Cheng collaborates with scholars based in United States, China and Hong Kong. Long Cheng's co-authors include Danfeng Yao, Jianwei Niu, Yu Gu, Fang Liu, Sajal K. Das, Jiannong Cao, Lei Shu, Tian He, Canfeng Chen and Jian Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and IEEE/ACM Transactions on Networking.

In The Last Decade

Long Cheng

35 papers receiving 704 citations

Peers

Long Cheng
David Fernández Spain
Mahmoud Barhamgi France
Dirk Westhoff Germany
Alessandro Mei Italy
Aso Mohammad Darwesh Iraq
Julinda Stefa Italy
Jung Taek Seo South Korea
Yannis Nikoloudakis Greece
Ismaila Adeniyi Kamil Nigeria
Qasim Ali Arain Pakistan
David Fernández Spain
Long Cheng
Citations per year, relative to Long Cheng Long Cheng (= 1×) peers David Fernández

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

20 of 20 papers shown
1.
Cheng, Long, et al.. (2025). WIP: Towards Privacy Compliance by Design in the Matter Protocol. 1 indexed citations
2.
Harris, Jeffrey L., et al.. (2025). Understanding User Acceptance of Privacy Labels: Barriers and Enhancements. ThinkTech (Texas Tech University). 223–230.
3.
4.
Zhang, Xiaolu, et al.. (2024). A Transformer-based network intrusion detection approach for cloud security. Journal of Cloud Computing Advances Systems and Applications. 13(1). 41 indexed citations
5.
Cheng, Long, Xiapu Luo, Zheng Song, et al.. (2024). A First Look at Security and Privacy Risks in the RapidAPI Ecosystem. VTechWorks (Virginia Tech). 1626–1640. 1 indexed citations
6.
7.
Young, Jeffrey A., et al.. (2024). End-Users Know Best: Identifying Undesired Behavior of Alexa Skills Through User Review Analysis. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(3). 1–28. 1 indexed citations
8.
Cheng, Long, et al.. (2024). Understanding GDPR Non-Compliance in Privacy Policies of Alexa Skills in European Marketplaces. 1081–1091. 2 indexed citations
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10.
Cheng, Long, et al.. (2023). SkillScanner: Detecting Policy-Violating Voice Applications Through Static Analysis at the Development Phase. arXiv (Cornell University). 2321–2335. 4 indexed citations
11.
Cheng, Long, et al.. (2023). Analysis of COVID-19 Offensive Tweets and Their Targets. 4473–4484. 1 indexed citations
12.
Luo, Xiapu, et al.. (2023). PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing. 1645–1659. 7 indexed citations
13.
Cheng, Long, Ke Tian, & Danfeng Yao. (2017). POSTER. 2483–2485. 1 indexed citations
14.
Cheng, Long, Jianwei Niu, Yu Gu, Chengwen Luo, & Tian He. (2016). Achieving Efficient Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks. IEEE/ACM Transactions on Networking. 24(6). 3676–3689. 37 indexed citations
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16.
Gu, Yu, Long Cheng, Jianwei Niu, Tian He, & David H. C. Du. (2014). Achieving Asymmetric Sensing Coverage for Duty Cycled Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems. 25(12). 3076–3087. 7 indexed citations
17.
Kong, Linghe, Mu‐Xuan Tao, Min‐You Wu, et al.. (2014). Resource-Efficient Data Gathering in Sensor Networks for Environment Reconstruction. The Computer Journal. 58(6). 1330–1343. 10 indexed citations
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19.
Cheng, Long, Yu Gu, Tian He, & Jianwei Niu. (2013). Dynamic switching-based reliable flooding in low-duty-cycle wireless sensor networks. 12. 1393–1401. 27 indexed citations
20.
Cheng, Long, et al.. (2010). Cooperative contention-based forwarding for wireless sensor networks. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1136–1140. 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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