Solomon Mensah

914 total citations · 1 hit paper
34 papers, 651 citations indexed

About

Solomon Mensah is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Solomon Mensah has authored 34 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 22 papers in Software and 12 papers in Artificial Intelligence. Recurrent topics in Solomon Mensah's work include Software Engineering Research (23 papers), Software Reliability and Analysis Research (21 papers) and Software System Performance and Reliability (5 papers). Solomon Mensah is often cited by papers focused on Software Engineering Research (23 papers), Software Reliability and Analysis Research (21 papers) and Software System Performance and Reliability (5 papers). Solomon Mensah collaborates with scholars based in Ghana, Hong Kong and China. Solomon Mensah's co-authors include Jacky Keung, Kwabena Ebo Bennin, Passakorn Phannachitta, Akito Monden, Qing Mi, Yan Xiao, Jinfu Chen, Yujin Gao, Jinfu Chen and Samuel K. Kwofie and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Journal of Systems and Software.

In The Last Decade

Solomon Mensah

32 papers receiving 627 citations

Hit Papers

MAHAKIL: Diversity Based ... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Solomon Mensah Ghana 12 434 343 262 136 69 34 651
Yutian Tang China 13 451 1.0× 359 1.0× 167 0.6× 185 1.4× 27 0.4× 43 618
Lov Kumar India 14 461 1.1× 385 1.1× 108 0.4× 230 1.7× 27 0.4× 73 615
Dan Lo United States 12 291 0.7× 48 0.1× 158 0.6× 317 2.3× 63 0.9× 73 597
Tu Peng China 14 366 0.8× 65 0.2× 240 0.9× 188 1.4× 57 0.8× 27 503
Myungho Lee South Korea 12 126 0.3× 36 0.1× 141 0.5× 100 0.7× 51 0.7× 52 408
Suhel Ahmad Khan India 12 176 0.4× 31 0.1× 73 0.3× 138 1.0× 66 1.0× 31 373
Mohd Hafeez Osman Malaysia 12 248 0.6× 99 0.3× 122 0.5× 129 0.9× 9 0.1× 39 383
Nesar Ahmad India 12 125 0.3× 114 0.3× 264 1.0× 46 0.3× 33 0.5× 48 588
Ridha Khédri Canada 12 173 0.4× 66 0.2× 191 0.7× 107 0.8× 14 0.2× 54 429

Countries citing papers authored by Solomon Mensah

Since Specialization
Citations

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

Fields of papers citing papers by Solomon Mensah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Solomon Mensah

This figure shows the co-authorship network connecting the top 25 collaborators of Solomon Mensah. A scholar is included among the top collaborators of Solomon Mensah 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 Solomon Mensah. Solomon Mensah 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
2.
Mensah, Solomon, et al.. (2024). An empirical study to test the significant effect of bellwethers on predictive modeling in smart homes. 6(2). 111–123. 1 indexed citations
3.
Mensah, Solomon, et al.. (2024). An Empirical Study on Small-Sized Datasets Based on Eubank’s Optimal Spacing Theorem. SN Computer Science. 6(1).
4.
Owusu, Ebenezer, et al.. (2023). A Deep Learning Approach for Loan Default Prediction Using Imbalanced Dataset. International Journal of Intelligent Information Technologies. 19(1). 1–16. 8 indexed citations
5.
Mensah, Solomon, et al.. (2023). A deep learning framework for sarcastic sentiment classification in opinion polls. 5(4). 333–343. 2 indexed citations
6.
Mensah, Solomon, et al.. (2023). Object detection in adverse weather condition for autonomous vehicles. Multimedia Tools and Applications. 83(9). 28235–28261. 27 indexed citations
7.
Mensah, Solomon, et al.. (2023). An Optimal Spacing Approach for Sampling Small-sized Datasets. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2023. 462–467. 1 indexed citations
8.
Mensah, Solomon, et al.. (2023). A sentiment analysis framework to classify instances of sarcastic sentiments within the aviation sector. International Journal of Information Management Data Insights. 3(2). 100180–100180. 19 indexed citations
9.
Mensah, Solomon, et al.. (2023). Improving software vulnerability classification performance using normalized difference measures. International Journal of Systems Assurance Engineering and Management. 14(3). 1010–1027. 1 indexed citations
10.
Weyori, Benjamin Asubam, et al.. (2021). DeepLaBB: A Deep Learning Framework for Blocking Bugs. 22–25. 5 indexed citations
11.
Chen, Jinfu, et al.. (2020). The effect of Bellwether analysis on software vulnerability severity prediction models. Software Quality Journal. 28(4). 1413–1446. 22 indexed citations
12.
Chen, Jinfu, et al.. (2020). An automatic software vulnerability classification framework using term frequency-inverse gravity moment and feature selection. Journal of Systems and Software. 167. 110616–110616. 23 indexed citations
13.
Mensah, Solomon, et al.. (2019). The Significant Effect of Parameter Tuning on Software Vulnerability Prediction Models. 526–527. 7 indexed citations
15.
Chen, Jinfu, et al.. (2019). The Effect of Weighted Moving Windows on Security Vulnerability Prediction. 65–68. 2 indexed citations
16.
Bennin, Kwabena Ebo, Jacky Keung, Passakorn Phannachitta, Akito Monden, & Solomon Mensah. (2018). [Journal First] MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction. International Conference on Software Engineering. 5 indexed citations
17.
Mi, Qing, Jacky Keung, Yan Xiao, Solomon Mensah, & Yujin Gao. (2018). Improving code readability classification using convolutional neural networks. Information and Software Technology. 104. 60–71. 29 indexed citations
18.
Bennin, Kwabena Ebo, Jacky Keung, Akito Monden, Passakorn Phannachitta, & Solomon Mensah. (2017). The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification. 364–373. 35 indexed citations
19.
Mensah, Solomon, et al.. (2016). Rework effort estimation of self-admitted technical debt. 1771. 72–75. 10 indexed citations
20.
Mensah, Solomon, et al.. (2016). Multi-Objective Optimization for Software Testing Effort Estimation. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2016. 527–530. 8 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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