Haichuan Ding

1.1k total citations
69 papers, 777 citations indexed

About

Haichuan Ding is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Haichuan Ding has authored 69 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 42 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Haichuan Ding's work include Advanced MIMO Systems Optimization (28 papers), Cooperative Communication and Network Coding (20 papers) and Cognitive Radio Networks and Spectrum Sensing (15 papers). Haichuan Ding is often cited by papers focused on Advanced MIMO Systems Optimization (28 papers), Cooperative Communication and Network Coding (20 papers) and Cognitive Radio Networks and Spectrum Sensing (15 papers). Haichuan Ding collaborates with scholars based in China, United States and Macao. Haichuan Ding's co-authors include Yuguang Fang, Xuanheng Li, Miao Pan, Jianqing Liu, Ying Cai, Shaodan Ma, Chi Zhang, Lan Zhang, Xiaoxia Huang and Haixia Zhang and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

Haichuan Ding

65 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haichuan Ding China 16 504 460 132 94 79 69 777
Tai Manh Ho South Korea 17 475 0.9× 552 1.2× 130 1.0× 82 0.9× 77 1.0× 37 778
Dongfeng Fang United States 12 318 0.6× 350 0.8× 87 0.7× 133 1.4× 126 1.6× 47 630
Lin X. Cai United States 21 732 1.5× 582 1.3× 129 1.0× 59 0.6× 63 0.8× 66 1.0k
Omid Semiari United States 18 698 1.4× 417 0.9× 155 1.2× 200 2.1× 43 0.5× 39 1.0k
Jeongho Kwak South Korea 13 574 1.1× 854 1.9× 134 1.0× 78 0.8× 181 2.3× 64 1.1k
Minghui Liwang China 19 389 0.8× 524 1.1× 201 1.5× 119 1.3× 181 2.3× 64 912
Arash Asadi Germany 18 839 1.7× 555 1.2× 105 0.8× 53 0.6× 44 0.6× 52 992
Lijie Xu China 17 462 0.9× 340 0.7× 86 0.7× 117 1.2× 68 0.9× 61 812
Sobia Jangsher Pakistan 15 698 1.4× 614 1.3× 107 0.8× 91 1.0× 183 2.3× 59 1.1k

Countries citing papers authored by Haichuan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Haichuan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haichuan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Haichuan Ding. A scholar is included among the top collaborators of Haichuan Ding 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 Haichuan Ding. Haichuan Ding 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.
Chen, Xianhao, Yiqin Deng, Haichuan Ding, et al.. (2024). Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities. IEEE Communications Surveys & Tutorials. 26(3). 2048–2081. 42 indexed citations
2.
Cui, Yue, et al.. (2024). Energy-Efficient Integrated Sensing and Communication in Collaborative Millimeter Wave Networks. IEEE Transactions on Wireless Communications. 24(3). 2341–2357. 5 indexed citations
3.
4.
He, Yixin, et al.. (2024). Open-Set Long-Tailed Radio Frequency Fingerprint Identification. 1543–1548. 1 indexed citations
5.
Ding, Haichuan, et al.. (2023). Multisatellite Collaborative Signal Acquisition for Internet of Remote Things. IEEE Internet of Things Journal. 11(6). 10425–10440. 4 indexed citations
6.
Ding, Haichuan, et al.. (2023). Traffic Prediction Based on the GRU Neural Network. Applied and Computational Engineering. 8(1). 287–291.
7.
Li, Xuanheng, et al.. (2023). Intelligent Spectrum Sensing and Access With Partial Observation Based on Hierarchical Multi-Agent Deep Reinforcement Learning. IEEE Transactions on Wireless Communications. 23(4). 3131–3145. 11 indexed citations
8.
Chen, Xianhao, et al.. (2022). End-to-End Service Auction: A General Double Auction Mechanism for Edge Computing Services. IEEE/ACM Transactions on Networking. 30(6). 2616–2629. 24 indexed citations
9.
Liu, Jianqing, et al.. (2020). Optimizing IoT Energy Efficiency on Edge (EEE): A Cross-Layer Design in a Cognitive Mesh Network. IEEE Transactions on Wireless Communications. 20(4). 2472–2486. 3 indexed citations
10.
Ding, Haichuan, et al.. (2020). Energy-Efficient Channel Switching in Cognitive Radio Networks: A Reinforcement Learning Approach. IEEE Transactions on Vehicular Technology. 69(10). 12359–12362. 16 indexed citations
11.
Yan, Li, Haichuan Ding, Lan Zhang, et al.. (2019). Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks. IEEE Transactions on Wireless Communications. 18(10). 4873–4885. 78 indexed citations
12.
Li, Xuanheng, et al.. (2019). Data-Driven Service Provisioning over Shared Spectrums with Statistical QoS Guarantee. 11. 1–6. 3 indexed citations
13.
Ding, Haichuan, Yuanxiong Guo, Xuanheng Li, & Yuguang Fang. (2018). Beef Up the Edge: Spectrum-Aware Placement of Edge Computing Services for the Internet of Things. IEEE Transactions on Mobile Computing. 18(12). 2783–2795. 44 indexed citations
14.
Ding, Haichuan, et al.. (2018). A UHF RFID-Based System for Children Tracking. IEEE Internet of Things Journal. 5(6). 5055–5064. 16 indexed citations
15.
Ding, Haichuan, Chi Zhang, Xuanheng Li, et al.. (2018). Session-Based Cooperation in Cognitive Radio Networks: A Network-Level Approach. IEEE/ACM Transactions on Networking. 26(2). 685–698. 11 indexed citations
16.
Ding, Haichuan, Xuanheng Li, Ying Cai, Beatriz Lorenzo, & Yuguang Fang. (2018). Intelligent Data Transportation in Smart Cities: A Spectrum-Aware Approach. IEEE/ACM Transactions on Networking. 26(6). 2598–2611. 28 indexed citations
17.
Liu, Jianqing, Haichuan Ding, Ying Cai, et al.. (2016). An Energy-Efficient Strategy for Secondary Users in Cooperative Cognitive Radio Networks for Green Communications. IEEE Journal on Selected Areas in Communications. 34(12). 3195–3207. 23 indexed citations
18.
Shi, Zheng, Haichuan Ding, Shaodan Ma, Kam‐Weng Tam, & Su Pan. (2016). Inverse Moment Matching Based Analysis of Cooperative HARQ-IR over Time-Correlated Nakagami Fading Channels. IEEE Transactions on Vehicular Technology. 1–1. 10 indexed citations
19.
Ding, Haichuan, et al.. (2015). A Secure Collaborative Machine Learning Framework Based on Data Locality. 2015 IEEE Global Communications Conference (GLOBECOM). 10 indexed citations
20.
Ding, Haichuan, Shaodan Ma, Chengwen Xing, et al.. (2013). Analysis of Hybrid ARQ in Ad Hoc Networks with Correlated Interference and Feedback Errors. IEEE Transactions on Wireless Communications. 12(8). 3942–3955. 10 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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