John Sum

1.1k total citations
71 papers, 678 citations indexed

About

John Sum is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Sum has authored 71 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Sum's work include Neural Networks and Applications (37 papers), Machine Learning and ELM (15 papers) and Face and Expression Recognition (12 papers). John Sum is often cited by papers focused on Neural Networks and Applications (37 papers), Machine Learning and ELM (15 papers) and Face and Expression Recognition (12 papers). John Sum collaborates with scholars based in Hong Kong, Taiwan and United States. John Sum's co-authors include Chi-Sing Leung, Kevin Ho, Gilbert H. Young, Laiwan Chan, Yi Xiao, P.K.S. Tam, Hong Shen, Hongjiang Wang, A.G. Constantinides and Lei Xu and has published in prestigious journals such as IEEE Access, Neural Computation and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

John Sum

67 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Sum Hong Kong 16 411 174 150 134 105 71 678
Anthony Kuh United States 15 389 0.9× 297 1.7× 112 0.7× 96 0.7× 158 1.5× 80 790
Kebo Fu China 2 229 0.6× 148 0.9× 78 0.5× 144 1.1× 102 1.0× 4 701
Zhaojun Zhang China 14 335 0.8× 77 0.4× 160 1.1× 78 0.6× 101 1.0× 49 754
Guoqiang Zhang Australia 14 223 0.5× 137 0.8× 112 0.7× 131 1.0× 42 0.4× 73 670
Wenjie Hu China 11 253 0.6× 111 0.6× 314 2.1× 142 1.1× 79 0.8× 19 589
Pravin Chandra India 16 348 0.8× 130 0.7× 164 1.1× 157 1.2× 65 0.6× 84 870
Bin-Yih Liao Taiwan 12 301 0.7× 155 0.9× 211 1.4× 209 1.6× 88 0.8× 33 752
Rajarshi Pal India 11 284 0.7× 101 0.6× 45 0.3× 195 1.5× 167 1.6× 45 684
Teng Zhang United States 13 215 0.5× 92 0.5× 80 0.5× 121 0.9× 88 0.8× 47 505
Jie Guo China 15 248 0.6× 179 1.0× 153 1.0× 170 1.3× 24 0.2× 58 671

Countries citing papers authored by John Sum

Since Specialization
Citations

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

Fields of papers citing papers by John Sum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Sum

This figure shows the co-authorship network connecting the top 25 collaborators of John Sum. A scholar is included among the top collaborators of John Sum 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 John Sum. John Sum 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.
Kapoor, Pranav, et al.. (2025). Using Machine Learning to Analyze and Detect Anomalies in SELinux Security Policies. Procedia Computer Science. 257. 880–887.
2.
Sum, John, et al.. (2025). A Fast Wang k WTA With Application in Sealed-Bid Uniform Price Auction. IEEE Transactions on Neural Networks and Learning Systems. 36(12). 20464–20469.
3.
Leung, Chi-Sing, et al.. (2021). DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units. IEEE Transactions on Neural Networks and Learning Systems. 33(7). 3184–3192. 12 indexed citations
4.
Ho, Kevin & John Sum. (2017). Scheduling jobs with multitasking and asymmetric switching costs. 2927–2932. 3 indexed citations
5.
Sum, John & Kevin Ho. (2015). Analysis on the Effect of Multitasking. 204–209. 10 indexed citations
6.
Leung, Chi-Sing, John Sum, & A.G. Constantinides. (2013). Recurrent networks for compressive sampling. Neurocomputing. 129. 298–305. 12 indexed citations
7.
Ho, Kevin, Chi-Sing Leung, & John Sum. (2010). Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs. IEEE Transactions on Neural Networks. 22(2). 317–323. 13 indexed citations
8.
Leung, Chi-Sing & John Sum. (2008). A Fault-Tolerant Regularizer for RBF Networks. IEEE Transactions on Neural Networks. 19(3). 493–507. 35 indexed citations
9.
Sum, John, Chi-Sing Leung, & Kevin Ho. (2008). On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise. IEEE Transactions on Neural Networks. 20(1). 124–138. 26 indexed citations
10.
Sum, John, Jie Wu, & Kevin Ho. (2007). Analysis on a Localized Pruning Method for Connected Dominating Sets. Journal of information science and engineering. 23(4). 1073–1086. 1 indexed citations
11.
Sum, John, Jie Wu, & Chi-Sing Leung. (2007). On Profit Density Based Greedy Algorithm for a Resource Allocation Problem in Web Services. International Journal of Computers and Applications. 29(2). 155–163. 1 indexed citations
12.
Sum, John, et al.. (2004). A Study of the Connectedness of Gnutella.. Parallel and Distributed Processing Techniques and Applications. 960–966. 1 indexed citations
13.
Sum, John, et al.. (2004). A Novel Connection Algorithm for P2P Network.. Parallel and Distributed Processing Techniques and Applications. 87. 967–972. 2 indexed citations
14.
Shen, Hong, Yi Pan, John Sum, & Susumu Horiguchi. (2003). Multicasting in Multihop Optical WDM Networks with Limited Wavelength Conversion. IEICE Transactions on Information and Systems. 86(1). 3–14. 8 indexed citations
15.
Sum, John, et al.. (1999). Analysis for a class of winner-take-all model. IEEE Transactions on Neural Networks. 10(1). 64–71. 39 indexed citations
16.
Sum, John, et al.. (1999). Analysis on a Mobile Agent Based Algorithm for Network Management.
17.
Leung, Chi-Sing, et al.. (1999). On the regularization of forgetting recursive least square. IEEE Transactions on Neural Networks. 10(6). 1482–1486. 23 indexed citations
18.
Sum, John. (1998). Extended Kalman Filter Based Pruning Algorithms And Several Aspects Of Neural Network Learning. 2 indexed citations
19.
Sum, John, Chi-Sing Leung, Laiwan Chan, & Lei Xu. (1997). Yet another algorithm which can generate topography map. IEEE Transactions on Neural Networks. 8(5). 1204–1207. 16 indexed citations
20.
Sum, John, et al.. (1996). Extended Kalman filter in recurrent neural network training and pruning. 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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