Thabo Semong
Impact in
- Computational Mathematics top 10%
Papers in
-
- Software-Defined Networks and 5G 6
- Caching and Content Delivery 5
- Energy Efficient Wireless Sensor Networks 2
- Network Traffic and Congestion Control 2
- IoT and Edge/Fog Computing 2
-
- Privacy-Preserving Technologies in Data 3
- Co-authors
- Thabiso Maupong (5 shared papers)Banyatsang Mphago (1 shared paper)Dimane Mpoeleng (1 shared paper)Oteng Tabona (4 shared papers)Kun Xie (4 shared papers)Shiming He (3 shared papers)Lele Wang (1 shared paper)Huibin Zhou (1 shared paper)
- Journals
- Electronics (3 papers)IEEE Access (2 papers)IEEE Transactions on Cybernetics (1 paper)Scientific African (1 paper)Evolutionary Intelligence (1 paper)
- Partner nations
- BotswanaChinaUnited Kingdom
In The Last Decade
Thabo Semong
16 papers receiving 661 citations
Thabo Semong's Hit Papers
Peers
Comparison fields: 5 of 141
- Computational Mathematics 16
- Health Informatics 10
- Health Information Management 33
- Artificial Intelligence 220
- Computer Networks and Communications 139
Countries citing papers authored by Thabo Semong
This map shows the geographic impact of Thabo Semong'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 Thabo Semong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thabo Semong more than expected).
Fields of papers citing papers by Thabo Semong
This network shows the impact of papers produced by Thabo Semong. 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 Thabo Semong. The network helps show where Thabo Semong may publish in the future.
Co-authors
The 24 scholars most cited alongside Thabo Semong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A survey on missing data in machine learning Hit paper breakdown → | 2021 | 513 |
| 2 | 2020 | 50 | |
| 3 | 2019 | 47 | |
| 4 | 2017 | 17 | |
| 5 | 2021 | 15 | |
| 6 | 2019 | 11 | |
| 7 | 2019 | 10 | |
| 8 | 2020 | 4 | |
| 9 | 2018 | 3 | |
| 10 | 2009 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2019 | 1 |
About Thabo Semong
Thabo Semong is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Signal Processing, having authored 16 papers that have together received 681 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (6 papers), Caching and Content Delivery (5 papers), Privacy-Preserving Technologies in Data (3 papers), Advanced Optical Network Technologies (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Digital and Cyber Forensics (2 papers), Network Traffic and Congestion Control (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computational Mathematics (16 citations), Health Informatics (10 citations), Health Information Management (33 citations), Artificial Intelligence (220 citations) and Computer Networks and Communications (139 citations). Thabo Semong has collaborated with scholars based in Botswana, China and United Kingdom. Frequent co-authors include Thabiso Maupong, Banyatsang Mphago, Dimane Mpoeleng, Oteng Tabona, Kun Xie, Shiming He, Lele Wang, Huibin Zhou, Hongyang Chen and Zhu Xiao. Their work appears in journals such as Electronics, IEEE Access, IEEE Transactions on Cybernetics, Scientific African and Evolutionary Intelligence.
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.