Chan‐Tong Lam

1.5k total citations
173 papers, 849 citations indexed

About

Chan‐Tong Lam is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chan‐Tong Lam has authored 173 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Electrical and Electronic Engineering, 46 papers in Artificial Intelligence and 44 papers in Computer Networks and Communications. Recurrent topics in Chan‐Tong Lam's work include Advanced Wireless Communication Techniques (23 papers), Advanced Wireless Communication Technologies (23 papers) and PAPR reduction in OFDM (19 papers). Chan‐Tong Lam is often cited by papers focused on Advanced Wireless Communication Techniques (23 papers), Advanced Wireless Communication Technologies (23 papers) and PAPR reduction in OFDM (19 papers). Chan‐Tong Lam collaborates with scholars based in Macao, China and Portugal. Chan‐Tong Lam's co-authors include Benjamin K. Ng, D.D. Falconer, Rui Dinis, Xiaochen Yuan, Wei Ke, Sio‐Kei Im, António José Mendes, Guoheng Huang, Tiago Cruz and Paulo Simões and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.

In The Last Decade

Chan‐Tong Lam

137 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chan‐Tong Lam Macao 14 460 310 109 108 85 173 849
Lijuan Sun China 15 296 0.6× 329 1.1× 129 1.2× 122 1.1× 79 0.9× 94 734
Jianxin Chen China 15 307 0.7× 407 1.3× 204 1.9× 127 1.2× 54 0.6× 94 899
Shiming He China 16 230 0.5× 399 1.3× 117 1.1× 247 2.3× 41 0.5× 47 831
Ramón J. Durán Barroso Spain 19 789 1.7× 405 1.3× 64 0.6× 242 2.2× 39 0.5× 119 1.3k
Mohamed Ibrahim Egypt 14 692 1.5× 446 1.4× 140 1.3× 57 0.5× 133 1.6× 46 1.0k
Zhuofan Liao China 16 310 0.7× 645 2.1× 165 1.5× 111 1.0× 165 1.9× 44 946
Khalid Abualsaud Qatar 17 232 0.5× 219 0.7× 143 1.3× 229 2.1× 48 0.6× 78 877
Bihua Tang China 15 433 0.9× 488 1.6× 64 0.6× 127 1.2× 39 0.5× 96 857
Anna Maria Vegni Italy 21 1.3k 2.8× 578 1.9× 60 0.6× 149 1.4× 170 2.0× 119 1.6k

Countries citing papers authored by Chan‐Tong Lam

Since Specialization
Citations

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

Fields of papers citing papers by Chan‐Tong Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan‐Tong Lam. 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 Chan‐Tong Lam. The network helps show where Chan‐Tong Lam may publish in the future.

Co-authorship network of co-authors of Chan‐Tong Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Chan‐Tong Lam. A scholar is included among the top collaborators of Chan‐Tong Lam 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 Chan‐Tong Lam. Chan‐Tong Lam 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
2.
3.
Lin, Zheng, Wei Wei, Zhe Chen, et al.. (2025). Hierarchical Split Federated Learning: Convergence Analysis and System Optimization. IEEE Transactions on Mobile Computing. 24(10). 9352–9367. 6 indexed citations
4.
Zhang, Anguo, Wei Chen, Chan‐Tong Lam, et al.. (2025). DFE: Deep Flow Embedding for Robust Network Traffic Classification. IEEE Transactions on Network Science and Engineering. 12(3). 1597–1612. 5 indexed citations
5.
Ng, Benjamin K., et al.. (2025). Low-Complexity Data-Driven Communication Neural Receivers. IEEE Access. 13. 9325–9334.
6.
Yuan, Xiaochen, et al.. (2024). LungNeXt: A novel lightweight network utilizing enhanced mel-spectrogram for lung sound classification. Journal of King Saud University - Computer and Information Sciences. 36(8). 102200–102200. 2 indexed citations
7.
Ke, Wei, et al.. (2024). An accurate slicing method for dynamic time warping algorithm and the segment-level early abandoning optimization. Knowledge-Based Systems. 300. 112231–112231. 6 indexed citations
8.
Liu, Xiaohong, Wei Ke, Chan‐Tong Lam, et al.. (2024). Distance guided generative adversarial network for explainable medical image classifications. Computerized Medical Imaging and Graphics. 118. 102444–102444.
11.
Lam, Chan‐Tong, et al.. (2024). How Various Educational Features Influence Programming Performance in Primary School Education. 1–8. 3 indexed citations
12.
Meng, Bowen, et al.. (2024). Encryption-then-embedding-based hybrid data hiding scheme for medical images. Journal of King Saud University - Computer and Information Sciences. 36(1). 101932–101932. 10 indexed citations
13.
Liu, Xiaohong, et al.. (2023). PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis. The Visual Computer. 39(8). 3811–3822. 16 indexed citations
14.
Lam, Chan‐Tong, et al.. (2023). On hardware aging for practical RIS‐assisted communication systems. Electronics Letters. 59(2). 1 indexed citations
16.
Yuan, Xiaochen, Tong Liu, Chan‐Tong Lam, et al.. (2023). Tampering localization and self-recovery using block labeling and adaptive significance. Expert Systems with Applications. 226. 120228–120228. 3 indexed citations
17.
Ng, Benjamin K., et al.. (2023). Shared Graph Neural Network for Channel Decoding. Applied Sciences. 13(23). 12657–12657. 3 indexed citations
18.
Zhang, Boliang, Sio‐Kei Im, Chan‐Tong Lam, et al.. (2023). Taxi Demand and Fare Prediction with Hybrid Models: Enhancing Efficiency and User Experience in City Transportation. Applied Sciences. 13(18). 10192–10192. 3 indexed citations
19.
Wang, Lili, et al.. (2023). Real-scene-constrained virtual scene layout synthesis for mixed reality. The Visual Computer. 40(9). 6319–6339. 3 indexed citations
20.
Ng, Benjamin K., et al.. (2023). Application of Tensor Decomposition to Reduce the Complexity of Neural Min-Sum Channel Decoding Algorithm. Applied Sciences. 13(4). 2255–2255. 2 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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