Aklima Akter Lima

628 total citations
7 papers, 324 citations indexed

About

Aklima Akter Lima is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Aklima Akter Lima has authored 7 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Aklima Akter Lima's work include EEG and Brain-Computer Interfaces (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Neonatal and fetal brain pathology (1 paper). Aklima Akter Lima is often cited by papers focused on EEG and Brain-Computer Interfaces (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Neonatal and fetal brain pathology (1 paper). Aklima Akter Lima collaborates with scholars based in Bangladesh, Japan and Saudi Arabia. Aklima Akter Lima's co-authors include M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, Yutaka Watanobe, Md. Rashedul Islam, Kamruddin Nur, Mahmud Hasan, Md. Abdul Hamid and Md. Saifur Rahman and has published in prestigious journals such as IEEE Access, Sensors and Biology.

In The Last Decade

Aklima Akter Lima

7 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aklima Akter Lima Bangladesh	6	133	103	60	30	28	7	324
Sujoy Chandra Das Bangladesh	4	133 1.0×	97 0.9×	60 1.0×	29 1.0×	28 1.0×	6	299
Omar AlZoubi Jordan	8	132 1.0×	82 0.8×	31 0.5×	20 0.7×	29 1.0×	34	300
Yuzhe Zhang China	10	121 0.9×	61 0.6×	43 0.7×	28 0.9×	23 0.8×	24	305
Trilok Chand India	7	199 1.5×	40 0.4×	30 0.5×	26 0.9×	20 0.7×	19	373
Baocan Zhang China	7	213 1.6×	55 0.5×	46 0.8×	35 1.2×	21 0.8×	13	281
Yongshuo Zong China	8	139 1.0×	92 0.9×	58 1.0×	31 1.0×	28 1.0×	11	355
Padmavati Khandnor India	10	204 1.5×	69 0.7×	30 0.5×	29 1.0×	18 0.6×	28	444
Ruimin Peng China	8	144 1.1×	67 0.7×	27 0.5×	53 1.8×	23 0.8×	14	257
Bei Wang China	11	198 1.5×	110 1.1×	48 0.8×	31 1.0×	24 0.9×	48	454
Shubham Dodia India	11	220 1.7×	135 1.3×	62 1.0×	36 1.2×	27 1.0×	20	445

Countries citing papers authored by Aklima Akter Lima

Since Specialization

Citations

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

Fields of papers citing papers by Aklima Akter Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aklima Akter Lima. 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 Aklima Akter Lima. The network helps show where Aklima Akter Lima may publish in the future.

Co-authorship network of co-authors of Aklima Akter Lima

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

All Works

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7 of 7 papers shown

1.

Mridha, M. F., Md. Mohsin Kabir, Aklima Akter Lima, et al.. (2023). An Unsupervised Writer Identification Based on Generating Clusterable燛mbeddings. Computer Systems Science and Engineering. 46(2). 2059–2073. 3 indexed citations

2.

Islam, Md. Rashedul, et al.. (2022). A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection. IEEE Access. 10. 99595–99632. 41 indexed citations

3.

Lima, Aklima Akter, M. F. Mridha, Sujoy Chandra Das, et al.. (2022). A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders. Biology. 11(3). 469–469. 57 indexed citations

4.

Mridha, M. F., Md. Rashedul Islam, Aklima Akter Lima, et al.. (2022). A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification. Journal of Healthcare Engineering. 2022. 1–43. 19 indexed citations

5.

Lima, Aklima Akter, et al.. (2022). Assessment of Building Damage on Post-Hurricane Satellite Imagery using improved CNN. 2022 International Conference on Decision Aid Sciences and Applications (DASA). 665–669. 6 indexed citations

6.

Mridha, M. F., Aklima Akter Lima, Kamruddin Nur, et al.. (2021). A Survey of Automatic Text Summarization: Progress, Process and Challenges. IEEE Access. 9. 156043–156070. 70 indexed citations

7.

Mridha, M. F., Sujoy Chandra Das, Md. Mohsin Kabir, et al.. (2021). Brain-Computer Interface: Advancement and Challenges. Sensors. 21(17). 5746–5746. 128 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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