Long Cheng

3.5k total citations · 1 hit paper
136 papers, 2.7k citations indexed

About

Long Cheng is a scholar working on Electrical and Electronic Engineering, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Long Cheng has authored 136 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Electrical and Electronic Engineering, 44 papers in Ocean Engineering and 38 papers in Artificial Intelligence. Recurrent topics in Long Cheng's work include Indoor and Outdoor Localization Technologies (74 papers), Underwater Vehicles and Communication Systems (37 papers) and Target Tracking and Data Fusion in Sensor Networks (29 papers). Long Cheng is often cited by papers focused on Indoor and Outdoor Localization Technologies (74 papers), Underwater Vehicles and Communication Systems (37 papers) and Target Tracking and Data Fusion in Sensor Networks (29 papers). Long Cheng collaborates with scholars based in China, United States and Singapore. Long Cheng's co-authors include Min Tan, Zeng‐Guang Hou, Chengdong Wu, Yunzhou Zhang, Yan Wang, Xu Wang, Hao Wu, Jian Yu, Jianwei Niu and Xuehan Wu and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Journal of Membrane Science.

In The Last Decade

Long Cheng

122 papers receiving 2.7k citations

Hit Papers

Decentralized Robust Adaptive Control for the Multiagent ... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Cheng China 24 1.2k 1.2k 615 516 347 136 2.7k
Zhixin Liu China 31 1.3k 1.1× 1.7k 1.4× 221 0.4× 351 0.7× 263 0.8× 216 3.3k
Yin Chen China 30 329 0.3× 1.7k 1.5× 212 0.3× 718 1.4× 157 0.5× 195 3.1k
Muhammad Asghar Khan Pakistan 31 1.4k 1.1× 1.2k 1.1× 165 0.3× 237 0.5× 1.3k 3.9× 145 3.6k
Wenbo Zhang China 30 1.4k 1.2× 1.5k 1.3× 536 0.9× 140 0.3× 266 0.8× 141 2.8k
Wei Meng China 26 822 0.7× 881 0.8× 301 0.5× 485 0.9× 696 2.0× 100 2.2k
Yu‐Long Wang China 32 1.9k 1.6× 883 0.8× 379 0.6× 2.8k 5.4× 187 0.5× 194 4.5k
Zhi Wang China 24 959 0.8× 971 0.8× 203 0.3× 120 0.2× 207 0.6× 168 2.1k
Satish Kumar India 26 1.9k 1.6× 908 0.8× 147 0.2× 499 1.0× 81 0.2× 122 3.7k
Kai Yang China 30 1.0k 0.9× 2.1k 1.8× 72 0.1× 237 0.5× 739 2.1× 189 3.0k

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). An Improved YOLOv8-XGBoost load rapid identification method based on multi-feature fusion. International Journal of Electrical Power & Energy Systems. 166. 110573–110573. 1 indexed citations
2.
Li, Zhenjie, et al.. (2025). Digital transformation and accounting information quality: The role of environmental uncertainty in the era of digital. International Review of Economics & Finance. 103. 104588–104588.
3.
Cheng, Long, et al.. (2025). A Hybrid EKF/WUFIR Filter for Indoor Localization Integrating INS and UWB Data. IEEE Transactions on Network Science and Engineering. 12(3). 2266–2276.
5.
Xuan, Haicheng, et al.. (2025). Ultrahigh cyclic stability and large elastocaloric effect in Ge doped Co-V-Ga shape memory alloys. Journal of Alloys and Compounds. 1042. 184198–184198.
6.
Cheng, Long & Ziying Fu. (2024). An adaptive Kalman filter loosely coupled indoor fusion positioning system based on inertial navigation system and ultra-wide band. Measurement. 244. 116412–116412. 3 indexed citations
7.
Cheng, Long & Ke Liu. (2024). INS/UWB fusion localization algorithm in indoor environment based on variational Bayesian and error compensation. Journal of the Franklin Institute. 361(17). 107204–107204. 1 indexed citations
8.
Cheng, Long, et al.. (2024). INS/UWB multi-sensor integrated localization scheme in indoor LOS/NLOS environment based on MEF-GPDAF. Computers & Electrical Engineering. 120. 109693–109693. 1 indexed citations
9.
Cheng, Long, et al.. (2024). An INS/UWB joint indoor positioning algorithm based on hypothesis testing and yaw angle. Wireless Networks. 31(1). 457–469. 2 indexed citations
10.
Cheng, Long, Chen Cui, Zhijian Zhao, & Yuanyuan Shi. (2024). An improved multi-filter fusion indoor localization algorithm based on INS and UWB. Earth Science Informatics. 17(3). 2509–2521. 1 indexed citations
11.
Du, Yi, Long Cheng, Jianhua Zhao, et al.. (2023). Effects of Clostridium butyricum and sodium butyrate on growth performance, immunity, and gut microbiota of mirror carp Cyprinus carpio fed with soybean meal based diet. Aquaculture Reports. 29. 101501–101501. 21 indexed citations
12.
Cheng, Long, et al.. (2023). The application of mesoporous silica nanoparticles as a drug delivery vehicle in oral disease treatment. Frontiers in Cellular and Infection Microbiology. 13. 1124411–1124411. 46 indexed citations
13.
Cheng, Long, et al.. (2021). A Robust Tracking Algorithm Based on Modified Generalized Probability Data Association for Wireless Sensor Network. IEEE Transactions on Industrial Electronics. 69(2). 2136–2146. 25 indexed citations
14.
Li, Jianqiang, Wei Wei, Chengwen Luo, et al.. (2018). PSOTrack: A RFID-Based System for Random Moving Objects Tracking in Unconstrained Indoor Environment. IEEE Internet of Things Journal. 5(6). 4632–4641. 66 indexed citations
15.
Wang, Yan, Xuehan Wu, & Long Cheng. (2018). A Novel Non-Line-of-Sight Indoor Localization Method for Wireless Sensor Networks. Journal of Sensors. 2018. 1–10. 12 indexed citations
17.
Niu, Jianwei, et al.. (2013). WiFi Fingerprint Localization in Open Space. 1–4. 10 indexed citations
18.
Cheng, Long. (2010). Effective Robust Speech Authentication Algorithm Based on Perceptual Characteristics. Journal of Chinese Computer Systems. 2 indexed citations
19.
Hou, Zeng‐Guang, Long Cheng, & Min Tan. (2009). Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(3). 636–647. 531 indexed citations breakdown →
20.
Cheng, Long. (2008). Selection scheme of mobile sinks in wireless sensor networks. Journal of Communications. 5 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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