Long Cheng

195 total papers · 3.5k total citations
137 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 137 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Electrical and Electronic Engineering, 44 papers in Ocean Engineering and 39 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 Zeng‐Guang Hou, Min Tan, Chengdong Wu, Yunzhou Zhang, Yan Wang, Xu Wang, Hao Wu, Jian Yu, Xuehan Wu and Jianwei Niu 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 2.6k citations

Hit Papers

Decentralized Robust Adap... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Long Cheng 1.2k 1.2k 611 514 343 137 2.7k
Cong Wang 677 0.6× 1.2k 1.0× 191 0.3× 1.4k 2.8× 187 0.5× 132 3.4k
Ihsan Ali 1.3k 1.1× 1.1k 0.9× 292 0.5× 257 0.5× 154 0.4× 144 4.2k
Wei Li 606 0.5× 710 0.6× 247 0.4× 535 1.0× 258 0.8× 233 2.9k
Zhixin Liu 1.3k 1.1× 1.6k 1.4× 216 0.4× 349 0.7× 247 0.7× 214 3.3k
Yin Chen 325 0.3× 1.7k 1.4× 213 0.3× 704 1.4× 156 0.5× 195 3.0k
Muhammad Asghar Khan 1.3k 1.1× 1.2k 1.0× 160 0.3× 231 0.4× 1.3k 3.8× 143 3.5k
Wenbo Zhang 1.4k 1.2× 1.5k 1.3× 535 0.9× 139 0.3× 264 0.8× 139 2.8k
Wei Meng 812 0.7× 875 0.8× 299 0.5× 478 0.9× 685 2.0× 98 2.1k
Jing Wang 820 0.7× 1.1k 1.0× 106 0.2× 1.3k 2.6× 215 0.6× 312 3.4k
Yi Fang 1.2k 1.0× 1.8k 1.6× 144 0.2× 81 0.2× 383 1.1× 203 3.1k

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

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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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