Li‐Chun Wang

11.0k total citations
531 papers, 8.0k citations indexed

About

Li‐Chun Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Li‐Chun Wang has authored 531 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 305 papers in Electrical and Electronic Engineering, 278 papers in Computer Networks and Communications and 71 papers in Aerospace Engineering. Recurrent topics in Li‐Chun Wang's work include Advanced MIMO Systems Optimization (143 papers), Cooperative Communication and Network Coding (99 papers) and Advanced Wireless Network Optimization (96 papers). Li‐Chun Wang is often cited by papers focused on Advanced MIMO Systems Optimization (143 papers), Cooperative Communication and Network Coding (99 papers) and Advanced Wireless Network Optimization (96 papers). Li‐Chun Wang collaborates with scholars based in Taiwan, China and United States. Li‐Chun Wang's co-authors include Chung‐Wei Wang, Ming‐Puu Chen, Chung‐Ju Chang, Yu‐Jia Chen, Weicheng Liu, Jane-Hwa Huang, Chun‐Hung Liu, Fumiyuki Adachi, Ying Loong Lee and Chin‐Tau Lea and has published in prestigious journals such as Genes & Development, ACS Nano and The Journal of Immunology.

In The Last Decade

Li‐Chun Wang

493 papers receiving 7.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Chun Wang Taiwan 45 4.1k 3.9k 784 619 483 531 8.0k
Piet Demeester Belgium 43 5.1k 1.3× 2.6k 0.7× 340 0.4× 626 1.0× 323 0.7× 561 8.4k
Yi Gong China 46 3.1k 0.8× 2.3k 0.6× 907 1.2× 1.1k 1.8× 427 0.9× 453 7.7k
Sung Won Kim South Korea 39 1.7k 0.4× 2.7k 0.7× 263 0.3× 223 0.4× 724 1.5× 254 5.9k
Yan Chen China 50 4.3k 1.1× 3.7k 1.0× 1.1k 1.4× 133 0.2× 612 1.3× 525 10.3k
Jianping Wang China 42 3.0k 0.7× 3.2k 0.8× 280 0.4× 196 0.3× 685 1.4× 547 7.9k
Jianwei Liu China 37 1.2k 0.3× 1.5k 0.4× 511 0.7× 313 0.5× 1.5k 3.1× 510 5.7k
An Liu China 45 3.7k 0.9× 2.6k 0.7× 1.2k 1.5× 331 0.5× 281 0.6× 340 8.3k
Yang Li China 61 6.1k 1.5× 649 0.2× 331 0.4× 1.2k 2.0× 381 0.8× 778 14.2k
Yun Lin China 41 1.2k 0.3× 911 0.2× 1.1k 1.4× 1.4k 2.3× 422 0.9× 281 6.9k
Xiaojiang Chen China 32 1.4k 0.3× 791 0.2× 282 0.4× 199 0.3× 370 0.8× 191 3.9k

Countries citing papers authored by Li‐Chun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Chun Wang. 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 Li‐Chun Wang. The network helps show where Li‐Chun Wang may publish in the future.

Co-authorship network of co-authors of Li‐Chun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Chun Wang. A scholar is included among the top collaborators of Li‐Chun Wang 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 Li‐Chun Wang. Li‐Chun Wang 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.
Lv, Yanjie, et al.. (2024). Long-term reduced and no tillage increase maize (Zea mays L.) grain yield and yield stability in Northeast China. European Journal of Agronomy. 158. 127217–127217. 11 indexed citations
2.
Huang, Yu-Chih, et al.. (2024). UAV-RIS Assisted Multiuser Communications Through Transmission Strategy Optimization: GBD Application. IEEE Transactions on Vehicular Technology. 73(6). 8584–8597. 3 indexed citations
3.
Guo, Wenzhong, et al.. (2024). Design and Experiment of Automatic Transport System for Planting Plate in Plant Factory. Agriculture. 14(3). 488–488.
4.
Fan, Lei, et al.. (2024). Distributionally Robust Optimal Routing for Integrated Satellite-Terrestrial Networks Under Uncertainty. IEEE Transactions on Communications. 72(10). 6401–6415. 4 indexed citations
5.
Liu, Ziyan, et al.. (2023). Investigation on interfacial shear performance of concrete strengthened with bonded steel plate. Journal of Building Engineering. 82. 108343–108343. 3 indexed citations
6.
Lin, Wei‐Yu, et al.. (2023). Temporal Difference-Aware Graph Convolutional Reinforcement Learning for Multi-Intersection Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems. 25(1). 327–337. 14 indexed citations
7.
Xiao, Liang, et al.. (2022). Reinforcement Learning Based Network Coding for Drone-Aided Secure Wireless Communications. IEEE Transactions on Communications. 70(9). 5975–5988. 19 indexed citations
8.
Wang, Li‐Chun, et al.. (2022). D2CRP: A Novel Distributed 2-Hop Cluster Routing Protocol for Wireless Sensor Networks. IEEE Internet of Things Journal. 9(20). 19575–19588. 49 indexed citations
9.
Ni, Jing, et al.. (2022). Synthesis of new copolyimides containing pyridine and morpholine groups for gas separation through molecular design and simulation. Journal of Applied Polymer Science. 139(41). 3 indexed citations
10.
Tarekegn, Getaneh Berie, et al.. (2022). Deep-Reinforcement-Learning-Based Drone Base Station Deployment for Wireless Communication Services. IEEE Internet of Things Journal. 9(21). 21899–21915. 33 indexed citations
11.
12.
Chen, Tao & Li‐Chun Wang. (2021). Linear Bayes estimator of the extreme value distribution based on type II censored samples. Communications in Statistics - Simulation and Computation. 52(9). 4532–4544.
13.
Liu, Jia-Ling, et al.. (2021). Controlling Interference Structure and Transmit Power of Aerial Small Cells by Hybrid Affinity Propagation Clustering and Reinforcement Learning. IEEE Open Journal of Vehicular Technology. 2. 412–418. 2 indexed citations
14.
Jung, Tzyy‐Ping, Chin‐Teng Lin, Kuan‐Chih Huang, et al.. (2021). Recognizing Tonal and Nontonal Mandarin Sentences for EEG-Based Brain–Computer Interface. IEEE Transactions on Cognitive and Developmental Systems. 14(4). 1666–1677. 3 indexed citations
15.
Lee, Ying Loong, Donghong Qin, Li‐Chun Wang, & Gek Hong Sim. (2020). 6G Massive Radio Access Networks: Key Applications, Requirements and Challenges. IEEE Open Journal of Vehicular Technology. 2. 54–66. 114 indexed citations
16.
Adege, Abebe Belay, Hsin‐Piao Lin, & Li‐Chun Wang. (2019). Mobility Predictions for IoT Devices Using Gated Recurrent Unit Network. IEEE Internet of Things Journal. 7(1). 505–517. 45 indexed citations
17.
Xiong, Zehui, Yang Zhang, Dusit Niyato, et al.. (2019). Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges. IEEE Vehicular Technology Magazine. 14(2). 44–52. 216 indexed citations
18.
Wen, Charles H.‐P., et al.. (2014). EQVMP: Energy-efficient and QoS-aware virtual machine placement for software defined datacenter networks. 220–225. 49 indexed citations
19.
Wang, Chung‐Wei, Li‐Chun Wang, & Fumiyuki Adachi. (2009). Modeling and analysis for proactive-decision spectrum handoff in cognitive radio networks (無線通信システム). 109(164). 13–18. 3 indexed citations
20.
Wang, Li‐Chun & Hao Chen. (2008). Partner selection schemes for cooperative multi-hop relay networks. 2. 1 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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2026