Lianglun Cheng

2.5k total citations
215 papers, 1.6k citations indexed

About

Lianglun Cheng is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lianglun Cheng has authored 215 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Networks and Communications, 58 papers in Artificial Intelligence and 50 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lianglun Cheng's work include Energy Efficient Wireless Sensor Networks (27 papers), Topic Modeling (14 papers) and Mobile Ad Hoc Networks (13 papers). Lianglun Cheng is often cited by papers focused on Energy Efficient Wireless Sensor Networks (27 papers), Topic Modeling (14 papers) and Mobile Ad Hoc Networks (13 papers). Lianglun Cheng collaborates with scholars based in China, United States and Macao. Lianglun Cheng's co-authors include Heng Wu, Zhuowei Wang, Jianfeng Deng, Chong Chen, Tao Wang, Genping Zhao, Huapan Xiao, Ruizhou Wang, Chunhua He and Jian Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Optics Express.

In The Last Decade

Lianglun Cheng

192 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lianglun Cheng China	21	410	382	271	259	247	215	1.6k
Yiguang Liu China	23	634 1.5×	398 1.0×	180 0.7×	239 0.9×	134 0.5×	106	1.5k
Xu Jia China	17	1.9k 4.6×	407 1.1×	405 1.5×	248 1.0×	90 0.4×	65	2.5k
Yuk Ying Chung Australia	19	607 1.5×	599 1.6×	138 0.5×	224 0.9×	105 0.4×	125	1.6k
Xin Gao China	20	411 1.0×	376 1.0×	596 2.2×	138 0.5×	83 0.3×	124	1.4k
Xiangwei Kong China	21	1.2k 2.9×	406 1.1×	211 0.8×	96 0.4×	96 0.4×	135	1.8k
Chenren Xu China	27	462 1.1×	340 0.9×	119 0.4×	950 3.7×	51 0.2×	115	2.8k
Ming Liang China	21	808 2.0×	357 0.9×	165 0.6×	30 0.1×	149 0.6×	73	1.8k
Giacomo Boracchi Italy	20	659 1.6×	904 2.4×	325 1.2×	165 0.6×	98 0.4×	85	1.8k
Yi Liu China	21	539 1.3×	492 1.3×	241 0.9×	178 0.7×	200 0.8×	172	1.9k

Countries citing papers authored by Lianglun Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Lianglun Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianglun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Lianglun Cheng. A scholar is included among the top collaborators of Lianglun 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 Lianglun Cheng. Lianglun 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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20 of 20 papers shown

Huang, Guoheng, Ming Li, Xiaochen Yuan, et al.. (2025). SFCANet: Channel Attention in Spatial-Frequency Domain for Infrared Small Target Detection. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 13363–13379. 2 indexed citations

Huang, Guoheng, et al.. (2025). Multiscale Frequency-Guided Image Analyses for Mixed-Modality Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.

Lin, Guangyu, et al.. (2024). A joint entity and relation extraction framework for handling negative samples problems in named entity recognition. Applied Soft Computing. 169. 112570–112570. 1 indexed citations

Chen, Chong, et al.. (2024). Compact convolutional transformers- generative adversarial network for compound fault diagnosis of industrial robot. Engineering Applications of Artificial Intelligence. 138. 109315–109315. 9 indexed citations

Lin, Guangyu, et al.. (2024). Improving Distantly-Supervised Relation Extraction through Label Prompt. 606–611.

Chen, Chong, et al.. (2024). A multi-scale graph pyramid attention network with knowledge distillation towards edge computing robotic fault diagnosis. Expert Systems with Applications. 260. 125469–125469. 7 indexed citations

Huang, Guoheng, et al.. (2024). Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification. Journal of Biomedical Informatics. 158. 104728–104728. 11 indexed citations

Wang, Tao, et al.. (2023). Time-Sensitive and Resource-Aware Concurrent Workflow Scheduling for Edge Computing Platforms Based on Deep Reinforcement Learning. Applied Sciences. 13(19). 10689–10689. 1 indexed citations

He, Chunhua, et al.. (2023). Developing a special microwave oven: Assessment of its performance for dough fermentation and nutrient soup elaboration. Heliyon. 9(8). e18619–e18619. 3 indexed citations

10.

Chen, Yanling, Lianglun Cheng, Wu H, Ziyang Chen, & Feng Li. (2023). Infrared and visible image fusion with deep wavelet-dense network. Optica Applicata. 53(1). 1 indexed citations

11.

Cheng, Lianglun, Guoheng Huang, Xiaochen Yuan, et al.. (2023). Learning From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification. IEEE Transactions on Medical Imaging. 43(2). 625–637. 7 indexed citations

12.

He, Chunhua, Dengyun Lei, Heng Wu, et al.. (2023). A Side-Channel Hardware Trojan Detection Method Based on Fuzzy C-Means Clustering and Fusion Distance Algorithms. IEEE Internet of Things Journal. 11(8). 13927–13937. 6 indexed citations

13.

Cheng, Lianglun, et al.. (2023). Binocular attention-based stacked BiLSTM NER model for Supply chain management event knowledge graph construction. 40–46. 1 indexed citations

14.

Chen, Chong, et al.. (2023). Lightweight Convolutional Transformers Enhanced Meta-Learning for Compound Fault Diagnosis of Industrial Robot. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 31 indexed citations

15.

He, Chunhua, et al.. (2022). A Novel Snore Detection and Suppression Method for a Flexible Patch With MEMS Microphone and Accelerometer. IEEE Internet of Things Journal. 9(24). 25791–25804. 14 indexed citations

16.

Wu, Heng, Wenhao Wu, Meiyun Chen, et al.. (2021). Computational ghost imaging with 4-step iterative rank minimization. Physics Letters A. 394. 127199–127199. 5 indexed citations

17.

Chen, Quan, Zhipeng Cai, Lianglun Cheng, & Hong Gao. (2020). Low-Latency Data Aggregation Scheduling for Cognitive Radio Networks With Non-Predetermined Structure. IEEE Transactions on Mobile Computing. 20(7). 2412–2426. 11 indexed citations

18.

Lu, Xu, et al.. (2019). Mobile target tracking algorithm for wireless camera sensor networks with adjustable monitoring direction of nodes. International Journal of Communication Systems. 32(10). 7 indexed citations

19.

Lu, Xu, Rongjun Chen, Jun Liu, & Lianglun Cheng. (2018). Square partition‐based node scheduling algorithm for wireless passive sensor networks. International Journal of Communication Systems. 31(8). 8 indexed citations

20.

Cheng, Lianglun. (2011). A Low Redundancy Coverage-Enhancing Algorithm for Directional Sensor Network Based on Fictitious Force. Chuangan jishu xuebao. 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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