Brighter Agyemang

1.6k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Brighter Agyemang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Brighter Agyemang has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brighter Agyemang's work include Computational Drug Discovery Methods (3 papers), IoT and Edge/Fog Computing (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Brighter Agyemang is often cited by papers focused on Computational Drug Discovery Methods (3 papers), IoT and Edge/Fog Computing (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Brighter Agyemang collaborates with scholars based in China, Australia and Ghana. Brighter Agyemang's co-authors include Ahmed Tlili, Aras Bozkurt, Michael Agyemang Adarkwah, Daniel T. Hickey, Boulus Shehata, Ronghuai Huang, Yang Xu, Lei Chen, Ming Liu and Guisong Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Brighter Agyemang

14 papers receiving 954 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education

2023 952 citations Ahmed Tlili, Boulus Shehata et al. Smart Learning Environments profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brighter Agyemang China	6	551	472	301	134	121	18	1.0k
Boulus Shehata China	6	567 1.0×	483 1.0×	322 1.1×	141 1.1×	133 1.1×	12	1.1k
Nishith Reddy Mannuru United States	7	359 0.7×	376 0.8×	176 0.6×	81 0.6×	141 1.2×	23	863
David Baidoo-Anu Canada	9	613 1.1×	606 1.3×	466 1.5×	146 1.1×	160 1.3×	28	1.6k
Ştefan Popenici Australia	8	225 0.4×	306 0.6×	430 1.4×	44 0.3×	78 0.6×	17	1.0k
Sharon Kerr Australia	2	194 0.4×	272 0.6×	395 1.3×	42 0.3×	65 0.5×	4	863
Seongyong Lee South Korea	12	191 0.3×	380 0.8×	257 0.9×	46 0.3×	30 0.2×	46	930
Mohammad Amin Kuhail United Arab Emirates	11	125 0.2×	407 0.9×	233 0.8×	31 0.2×	32 0.3×	38	720
Abejide Ade-Ibijola South Africa	9	134 0.2×	430 0.9×	217 0.7×	31 0.2×	28 0.2×	35	655
Tianyu Wu China	5	242 0.4×	347 0.7×	76 0.3×	79 0.6×	61 0.5×	8	820
David Santandreu Calonge United Arab Emirates	10	111 0.2×	174 0.4×	223 0.7×	34 0.3×	44 0.4×	32	663

Countries citing papers authored by Brighter Agyemang

Since Specialization

Citations

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

Fields of papers citing papers by Brighter Agyemang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brighter Agyemang

This figure shows the co-authorship network connecting the top 25 collaborators of Brighter Agyemang. A scholar is included among the top collaborators of Brighter Agyemang 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 Brighter Agyemang. Brighter Agyemang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Agyemang, Brighter, Fenghui Ren, & Jun Yan. (2024). Proactive Agent Behaviour in Dynamic Distributed Constraint Optimisation Problems. Information. 15(5). 255–255.

Tlili, Ahmed, Boulus Shehata, Michael Agyemang Adarkwah, et al.. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments. 10(1). 952 indexed citations breakdown →

Agyemang, Brighter, Fenghui Ren, & Jun Yan. (2023). Distributed Multi-Agent Hierarchy Construction for Dynamic DCOPs in Mobile Sensor Teams. SHILAP Revista de lepidopterología. 3(4). 473–486. 1 indexed citations

Agyemang, Brighter, et al.. (2022). A Generic Graph-Based Method for Flexible Aspect-Opinion Analysis of Complex Product Customer Feedback. Information. 13(3). 118–118. 4 indexed citations

Agyemang, Brighter, et al.. (2021). Algorithmic Generation of Positive Samples for Compound-Target Interaction Prediction. 41–49. 1 indexed citations

Agyemang, Brighter, et al.. (2021). A Graph-Based Opinion Mining Approach for Reducing Information Loss and Overload in Product Reviews Analysis. 143–148. 1 indexed citations

Agyemang, Brighter, et al.. (2020). Multi-view self-attention for interpretable drug–target interaction prediction. Journal of Biomedical Informatics. 110. 103547–103547. 26 indexed citations

Agyemang, Brighter, et al.. (2020). FEATURIZATION OF DRUG COMPOUNDS AND TARGET PROTEINS FOR DRUG-TARGET INTERACTION PREDICTION. International Journal of Scientific and Research Publications. 10(2). p9813–p9813. 3 indexed citations

Qin, Ke, et al.. (2020). Enforcing Affinity Feature Learning through Self-attention for Person Re-identification. ACM Transactions on Multimedia Computing Communications and Applications. 16(1). 1–22. 12 indexed citations

10.

Agyemang, Brighter, et al.. (2020). Graph Based Analytics Enhanced by Deep Learning. 39–43. 1 indexed citations

11.

Agyemang, Brighter, et al.. (2018). Resource-oriented architecture toward efficient device management for the Internet of Things. Journal of Ambient Intelligence and Humanized Computing. 14(12). 15929–15941. 5 indexed citations

12.

Ahene, Emmanuel, et al.. (2017). Secure Energy Encryption for Wireless Power Transfer. 317. 199–204. 6 indexed citations

13.

Agyemang, Brighter, et al.. (2017). Resource-oriented architecture toward efficient device management and service enablement. 2561–2566. 1 indexed citations

14.

Xu, Yang, et al.. (2017). Procedure Graph Model for Automatic RFID Data Processing Service Management. IEEE Internet of Things Journal. 4(3). 713–722. 8 indexed citations

15.

Xu, Yang, et al.. (2016). Uncertainty reasoning for smart homes: An ontological decision network based approach. 14(3). 199–210. 2 indexed citations

16.

Xu, Yang, et al.. (2016). Markov Task Network: A Framework for Service Composition under Uncertainty in Cyber-Physical Systems. Sensors. 16(9). 1542–1542. 6 indexed citations

17.

Wang, Wenyong, et al.. (2016). Efran (O): "Efficient Scalar Homomorphic Scheme on MapReduce for Data Privacy Preserving". 66–74. 1 indexed citations

18.

Agyemang, Brighter, et al.. (2014). A conceptual modelling for combining potentials in both coarse grain and fine grain sugar molecules. University of Groningen research database (University of Groningen / Centre for Information Technology). 86–91.

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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