M. Waqar Akram

2.0k total citations
37 papers, 1.5k citations indexed

About

M. Waqar Akram is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, M. Waqar Akram has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Renewable Energy, Sustainability and the Environment, 10 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in M. Waqar Akram's work include Photovoltaic System Optimization Techniques (17 papers), Solar Radiation and Photovoltaics (7 papers) and Solar Thermal and Photovoltaic Systems (6 papers). M. Waqar Akram is often cited by papers focused on Photovoltaic System Optimization Techniques (17 papers), Solar Radiation and Photovoltaics (7 papers) and Solar Thermal and Photovoltaic Systems (6 papers). M. Waqar Akram collaborates with scholars based in China, Pakistan and United Kingdom. M. Waqar Akram's co-authors include Yi Jin, Guiqiang Li, Xiao Chen, Changan Zhu, Ashfaq Ahmad, Xudong Zhao, Xiao Chen, Muhammad Faheem, Jie Ji and Abdul Khaliq and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

M. Waqar Akram

33 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Waqar Akram China 17 820 475 311 307 259 37 1.5k
Mohd Shawal Jadin Malaysia 14 123 0.1× 261 0.5× 115 0.4× 70 0.2× 89 0.3× 57 788
Claudia Buerhop‐Lutz Germany 21 1.4k 1.7× 924 1.9× 456 1.5× 398 1.3× 265 1.0× 89 1.9k
John A. Tsanakas France 12 646 0.8× 408 0.9× 134 0.4× 216 0.7× 100 0.4× 24 958
Fuwu Yan China 27 186 0.2× 987 2.1× 30 0.1× 83 0.3× 74 0.3× 167 2.9k
Shengxian Cao China 18 384 0.5× 324 0.7× 33 0.1× 285 0.9× 63 0.2× 110 1.3k
Qi Liao China 20 121 0.1× 559 1.2× 54 0.2× 156 0.5× 26 0.1× 76 1.3k
Tresna Dewi Indonesia 19 249 0.3× 277 0.6× 78 0.3× 188 0.6× 111 0.4× 121 1.1k
Yunpeng Hu China 24 188 0.2× 331 0.7× 116 0.4× 185 0.6× 71 0.3× 57 1.5k
Sara Gallardo-Saavedra Spain 12 546 0.7× 345 0.7× 71 0.2× 206 0.7× 58 0.2× 27 793
Sergiu Spataru Denmark 25 1.7k 2.1× 1.6k 3.4× 131 0.4× 685 2.2× 60 0.2× 116 2.4k

Countries citing papers authored by M. Waqar Akram

Since Specialization
Citations

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

Fields of papers citing papers by M. Waqar Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Waqar Akram. 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 M. Waqar Akram. The network helps show where M. Waqar Akram may publish in the future.

Co-authorship network of co-authors of M. Waqar Akram

This figure shows the co-authorship network connecting the top 25 collaborators of M. Waqar Akram. A scholar is included among the top collaborators of M. Waqar Akram 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 M. Waqar Akram. M. Waqar Akram 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
1.
Akram, M. Waqar & Jianbo Bai. (2025). Defect detection in photovoltaic modules based on image-to-image generation and deep learning. Sustainable Energy Technologies and Assessments. 82. 104441–104441.
2.
Akram, M. Waqar, et al.. (2025). Advancing photovoltaic cells defect detection in electroluminescence images through exploring multiple object detectors. Solar Energy Materials and Solar Cells. 292. 113777–113777. 2 indexed citations
3.
Jin, Zhao, Huijuan Xu, Guiqiang Li, et al.. (2024). Performance study of organic photovoltaic/thermal system with synergistic effect of photocatalytic and thermal catalytic technology. Solar Energy. 271. 112456–112456. 6 indexed citations
4.
Mushtaq, Faisal, M. Waqar Akram, Muhammad Usman, Muhammad Mohsin, & M. Nawaz. (2024). <b>GLOBAL CLIMATE CHANGE AND ITS INFLUENCE ON CROP PRODUCTION</b><b></b>. 2024(1). 27–27. 1 indexed citations
5.
Akram, M. Waqar, et al.. (2023). Effects of Premixed and Diffusion Conditions on the Iso-Octane/ammonia and Iso-Octane/ethanol Flames. Combustion Science and Technology. 197(8). 1783–1808.
6.
Nauman, Muhammad, et al.. (2023). Designing and performance evaluation of continuously stirring anaerobic batch reactor for biomethane production from biowaste. Biomass Conversion and Biorefinery. 14(15). 18065–18078. 3 indexed citations
7.
Akram, M. Waqar, et al.. (2023). Computer vision-based prototype robotic picking cum grading system for fruits. SHILAP Revista de lepidopterología. 4. 100210–100210. 17 indexed citations
8.
Akram, M. Waqar, et al.. (2023). 3D finite element analysis of tine cultivator and soil deformation. Research in Agricultural Engineering. 69(3). 107–117.
9.
Akram, M. Waqar, Guiqiang Li, Yi Jin, & Xiao Chen. (2022). Failures of Photovoltaic modules and their Detection: A Review. Applied Energy. 313. 118822–118822. 121 indexed citations
10.
Akram, M. Waqar, Guiqiang Li, Yi Jin, et al.. (2020). Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning. Solar Energy. 198. 175–186. 184 indexed citations
11.
Akram, M. Waqar, et al.. (2020). An Adaptive Anti-Noise Neural Network for Bearing Fault Diagnosis Under Noise and Varying Load Conditions. IEEE Access. 8. 74793–74807. 65 indexed citations
12.
Faheem, Muhammad, Jizhan Liu, M. Waqar Akram, et al.. (2020). Design optimization, fabrication, and performance evaluation of solar parabolic trough collector for domestic applications. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 13896–13915. 15 indexed citations
13.
14.
Ahmad, Ashfaq, et al.. (2020). Photovoltaic cell defect classification using convolutional neural network and support vector machine. IET Renewable Power Generation. 14(14). 2693–2702. 35 indexed citations
15.
Akram, M. Waqar, Guiqiang Li, Yi Jin, et al.. (2019). Improved outdoor thermography and processing of infrared images for defect detection in PV modules. Solar Energy. 190. 549–560. 68 indexed citations
16.
Akram, M. Waqar, Guiqiang Li, Yi Jin, et al.. (2019). CNN based automatic detection of photovoltaic cell defects in electroluminescence images. Energy. 189. 116319–116319. 224 indexed citations
17.
Buttar, Noman Ali, Yongguang Hu, Josef Tanny, M. Waqar Akram, & Abdul Shabbir. (2019). Fetch Effect on Flux-Variance Estimations of Sensible and Latent Heat Fluxes of Camellia Sinensis. Atmosphere. 10(6). 299–299. 3 indexed citations
18.
Maqbool, Ahsan, et al.. (2019). Bioassessment of Heavy Metals in Wheat Crop from Soil and Dust in a Coal Mining Area. Pollution. 5(2). 323–337. 18 indexed citations
19.
Li, Guiqiang, Qingdong Xuan, M. Waqar Akram, et al.. (2019). Building integrated solar concentrating systems: A review. Applied Energy. 260. 114288–114288. 103 indexed citations
20.
Praharaj, C. S., et al.. (2015). Dissemination of pulses production technologies for enhancing profitability of farmers in Uttar Pradesh. Journal of Food Legumes. 28(2). 59–63. 2 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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