Obed Appiah
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
-
- Stock Market Forecasting Methods
Papers in
-
- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 6
- Image Enhancement Techniques 4
- Image and Signal Denoising Methods 4
- Co-authors
- Peter Appiahene (12 shared papers)Eric Evans Osei Opoku (3 shared papers)Hang Lei (3 shared papers)Samuel Boateng (3 shared papers)Xiaoyu Li (3 shared papers)Patrick Kwabena Mensah (2 shared papers)Kwabena Adu (2 shared papers)Xiaoyu Li (1 shared paper)
- Journals
- Data in Brief (3 papers)Journal Of Big Data (1 paper)Scientific African (1 paper)PLoS ONE (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- GhanaChinaBurkina Faso
In The Last Decade
Obed Appiah
31 papers receiving 233 citations
Peers
Comparison fields: 5 of 80
- Computer Science Applications 30
- Management Science and Operations Research 46
- Horticulture 3
- Computer Vision and Pattern Recognition 55
- Health Informatics 3
Countries citing papers authored by Obed Appiah
This map shows the geographic impact of Obed Appiah'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 Obed Appiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Obed Appiah more than expected).
Fields of papers citing papers by Obed Appiah
This network shows the impact of papers produced by Obed Appiah. 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 Obed Appiah. The network helps show where Obed Appiah may publish in the future.
Co-authors
The 19 scholars most cited alongside Obed Appiah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 49 | |
| 2 | 2023 | 32 | |
| 3 | 2020 | 26 | |
| 4 | 2022 | 19 | |
| 5 | 2020 | 19 | |
| 6 | 2015 | 12 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2018 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2019 | 3 |
About Obed Appiah
Obed Appiah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Plant Science and Analytical Chemistry, having authored 36 papers that have together received 247 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Smart Agriculture and AI (5 papers), Image Enhancement Techniques (4 papers), Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (4 papers) and Market Dynamics and Volatility (3 papers). The work is most often cited by research in Computer Science Applications (30 citations), Management Science and Operations Research (46 citations), Horticulture (3 citations), Computer Vision and Pattern Recognition (55 citations) and Health Informatics (3 citations). Obed Appiah has collaborated with scholars based in Ghana, China and Burkina Faso. Frequent co-authors include Peter Appiahene, Eric Evans Osei Opoku, Hang Lei, Samuel Boateng, Xiaoyu Li, Patrick Kwabena Mensah, Kwabena Adu, Xiaoyu Li, Kehinde O. Ogunjobi and Mighty Abra Ayidzoe. Their work appears in journals such as Data in Brief, Journal Of Big Data, Scientific African, PLoS ONE and Engineering Applications of Artificial 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.