HweeHwa Pang
- Artificial Intelligence top 1%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Kian‐Lee TanKyriakos MouratidisMiron LivnyMichael J. CareyRobert H. DengJilian ZhangKrithi RamamrithamArpit Jain
- Topics
- Cryptography and Data Security (32 papers)Privacy-Preserving Technologies in Data (23 papers)Data Management and Algorithms (18 papers)
- Journals
- Information SciencesJournal of the Operational Research SocietyIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
HweeHwa Pang
85 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 984
- Information Systems 699
- Computer Networks and Communications 651
- Signal Processing 337
- Computer Vision and Pattern Recognition 248
Countries citing papers authored by HweeHwa Pang
This map shows the geographic impact of HweeHwa Pang'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 HweeHwa Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HweeHwa Pang more than expected).
Fields of papers citing papers by HweeHwa Pang
This network shows the impact of papers produced by HweeHwa Pang. 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 HweeHwa Pang. The network helps show where HweeHwa Pang may publish in the future.
Co-authorship network of co-authors of HweeHwa Pang
This figure shows the co-authorship network connecting the top 25 collaborators of HweeHwa Pang. A scholar is included among the top collaborators of HweeHwa Pang 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 HweeHwa Pang. HweeHwa Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 26 | |
| 7 | 28 | |
| 8 | 6 | |
| 9 | 16 | |
| 10 | 17 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | Learning causal models for noisy biological data mining: an application to ovarian cancer detection | 2 |
| 14 | 5 | |
| 15 | WmXML: a system for watermarking XML data | 6 |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 30 | |
| 19 | Memory-Adaptive External Sorting | 32 |
| 20 | 8 |
About HweeHwa Pang
HweeHwa Pang is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cryptography and Data Security (32 papers), Privacy-Preserving Technologies in Data (23 papers) and Data Management and Algorithms (18 papers). The work is most often cited by research in Signal Processing (337 citations), Information Systems (699 citations) and Artificial Intelligence (984 citations). HweeHwa Pang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Kian‐Lee Tan, Kyriakos Mouratidis, Miron Livny, Michael J. Carey, Robert H. Deng, Jilian Zhang, Krithi Ramamritham, Arpit Jain, Ghim-Eng Yap and Ah‐Hwee Tan. Their work appears in journals such as Information Sciences, Journal of the Operational Research Society and IEEE Transactions on Knowledge and Data Engineering.
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.