Daniel K. C. So

3.3k total citations
131 papers, 2.4k citations indexed

About

Daniel K. C. So is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Daniel K. C. So has authored 131 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Electrical and Electronic Engineering, 80 papers in Computer Networks and Communications and 20 papers in Aerospace Engineering. Recurrent topics in Daniel K. C. So's work include Advanced MIMO Systems Optimization (70 papers), Advanced Wireless Communication Technologies (48 papers) and Cooperative Communication and Network Coding (42 papers). Daniel K. C. So is often cited by papers focused on Advanced MIMO Systems Optimization (70 papers), Advanced Wireless Communication Technologies (48 papers) and Cooperative Communication and Network Coding (42 papers). Daniel K. C. So collaborates with scholars based in United Kingdom, China and Hong Kong. Daniel K. C. So's co-authors include Jie Tang, Kai‐Kit Wong, Emad Alsusa, Arman Shojaeifard, Khairi Ashour Hamdi, Xiu Yin Zhang, Nan Zhao, Jonathon A. Chambers, Gaojie Chen and Yu Yu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and IEEE Access.

In The Last Decade

Daniel K. C. So

126 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel K. C. So United Kingdom 27 2.1k 923 702 89 79 131 2.4k
Chao Shen China 20 1.8k 0.8× 915 1.0× 780 1.1× 112 1.3× 132 1.7× 89 2.2k
Yijin Pan China 20 1.8k 0.8× 710 0.8× 702 1.0× 80 0.9× 82 1.0× 84 2.1k
Rongfei Fan China 22 1.9k 0.9× 1.2k 1.3× 608 0.9× 71 0.8× 52 0.7× 73 2.4k
Md. Jahangir Hossain Canada 21 1.6k 0.7× 915 1.0× 492 0.7× 137 1.5× 78 1.0× 112 1.9k
Furqan Jameel Pakistan 24 1.7k 0.8× 786 0.9× 445 0.6× 113 1.3× 53 0.7× 62 2.0k
Wanming Hao China 28 2.4k 1.2× 639 0.7× 959 1.4× 69 0.8× 46 0.6× 136 2.7k
Bin Xia China 29 2.0k 1.0× 1.3k 1.5× 393 0.6× 112 1.3× 106 1.3× 148 2.6k
Hong‐Chuan Yang Canada 29 2.6k 1.2× 1.4k 1.5× 676 1.0× 64 0.7× 35 0.4× 220 2.9k
Wonjae Shin South Korea 20 1.6k 0.7× 745 0.8× 432 0.6× 99 1.1× 34 0.4× 155 1.8k
Hehao Niu China 20 1.5k 0.7× 479 0.5× 996 1.4× 70 0.8× 37 0.5× 44 1.9k

Countries citing papers authored by Daniel K. C. So

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. C. So

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. C. So. 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 Daniel K. C. So. The network helps show where Daniel K. C. So may publish in the future.

Co-authorship network of co-authors of Daniel K. C. So

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. C. So. A scholar is included among the top collaborators of Daniel K. C. So 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 Daniel K. C. So. Daniel K. C. So 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.
Wang, Kaidi, Zhiguo Ding, Daniel K. C. So, & Zhi Ding. (2025). Exploring Age-of-Information Weighting in Federated Learning Under Data Heterogeneity. IEEE Transactions on Wireless Communications. 24(6). 5023–5036. 3 indexed citations
2.
Zhang, Ruichen, et al.. (2025). Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework. IEEE Transactions on Communications. 73(12). 14260–14274.
3.
Wang, Kaidi, Zhiguo Ding, Daniel K. C. So, & Zhi Ding. (2024). Age-of-Information Minimization in Federated Learning Based Networks With Non-IID Dataset. IEEE Transactions on Wireless Communications. 23(8). 8939–8953. 12 indexed citations
4.
Tang, Jie, Xiu Yin Zhang, Wanmei Feng, et al.. (2024). Simultaneous Wireless Information and Power Transfer in IoT-Based Scenarios: Architectures, Challenges, and Prototype Validation. IEEE Wireless Communications. 31(5). 272–278. 3 indexed citations
5.
So, Daniel K. C., et al.. (2023). Power Allocation for NOMA With Cache-Aided D2D Communication. IEEE Transactions on Wireless Communications. 23(1). 529–542. 11 indexed citations
6.
Feng, Wanmei, Jie Tang, Qingqing Wu, et al.. (2023). Resource Allocation for Power Minimization in RIS-Assisted Multi-UAV Networks With NOMA. IEEE Transactions on Communications. 71(11). 6662–6676. 30 indexed citations
7.
So, Daniel K. C., et al.. (2022). Resource Allocation for Layered Multicast Video Streaming in NOMA Systems. IEEE Transactions on Vehicular Technology. 71(11). 11379–11394. 10 indexed citations
8.
Chen, Zhen, Jie Tang, Nan Zhao, Mingqian Liu, & Daniel K. C. So. (2022). Hybrid Beamforming With Discrete Phase Shifts for RIS-Assisted Multiuser SWIPT System. IEEE Wireless Communications Letters. 12(1). 104–108. 19 indexed citations
9.
So, Daniel K. C., et al.. (2021). NOMA and Coded Multicasting in Cache-Aided Wireless Networks. IEEE Transactions on Wireless Communications. 21(4). 2506–2520. 9 indexed citations
10.
Zhao, Nan, Jie Tang, Xiu Yin Zhang, et al.. (2020). Joint 3D Trajectory Design and Time Allocation for UAV-Enabled Wireless Power Transfer Networks. IEEE Transactions on Vehicular Technology. 69(9). 9265–9278. 58 indexed citations
11.
Tang, Jie, Jun-Hui Ou, Xiu Yin Zhang, et al.. (2020). Decoupling or Learning: Joint Power Splitting and Allocation in MC-NOMA With SWIPT. IEEE Transactions on Communications. 68(9). 5834–5848. 31 indexed citations
12.
Sun, Yanshi, Zhiguo Ding, Xuchu Dai, Keivan Navaie, & Daniel K. C. So. (2020). Performance of Downlink NOMA in Vehicular Communication Networks: An Analysis Based on Poisson Line Cox Point Process. IEEE Transactions on Vehicular Technology. 69(11). 14001–14006. 16 indexed citations
14.
So, Daniel K. C., et al.. (2017). User Association in Energy-Aware Dense Heterogeneous Cellular Networks. IEEE Transactions on Wireless Communications. 16(3). 1713–1726. 15 indexed citations
15.
Shojaeifard, Arman, Khairi Ashour Hamdi, Emad Alsusa, Daniel K. C. So, & Jie Tang. (2016). Optimal Deployment of Dense Cellular Networks. Research Explorer (The University of Manchester). 1–5. 1 indexed citations
16.
So, Daniel K. C., et al.. (2014). Hybrid overload MC-CDMA for Cognitive Radio networks. Research Explorer (The University of Manchester). 1460–1465. 2 indexed citations
17.
Dobson, Teresa, et al.. (2013). Visualizing Theatrical Text: From Watching the Script to the Simulated Environment for Theatre (SET). Digital humanities quarterly. 7(3). 4 indexed citations
18.
So, Daniel K. C., et al.. (2009). Power allocation for efficient cooperative communication. Research Explorer (The University of Manchester). 647–651. 5 indexed citations
19.
Cook, Michael A., et al.. (2008). Systematic Validation and Atomic Force Microscopy of Non-Covalent Short Oligonucleotide Barcode Microarrays. PLoS ONE. 3(2). e1546–e1546. 11 indexed citations
20.
So, Daniel K. C., et al.. (2008). A Novel OSSMIC Receiver for Downlink MIMO MC-CDMA Systems. Research Explorer (The University of Manchester). 1271–1275. 4 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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