Waheed Ahmed Abro

892 total citations · 1 hit paper
19 papers, 500 citations indexed

About

Waheed Ahmed Abro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Waheed Ahmed Abro has authored 19 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Neurology. Recurrent topics in Waheed Ahmed Abro's work include Topic Modeling (8 papers), Advanced Neural Network Applications (7 papers) and Brain Tumor Detection and Classification (5 papers). Waheed Ahmed Abro is often cited by papers focused on Topic Modeling (8 papers), Advanced Neural Network Applications (7 papers) and Brain Tumor Detection and Classification (5 papers). Waheed Ahmed Abro collaborates with scholars based in China, Pakistan and France. Waheed Ahmed Abro's co-authors include Zafar Ali, Guilin Qi, Zia-ur Rahman, Zaheer Ahmed Dayo, Zhihua Hu, Yurong Guan, Muhammad Aamir, Muhammad Aamir, Muhammad Ishfaq and Khan Muhammad and has published in prestigious journals such as Scientific Reports, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Waheed Ahmed Abro

18 papers receiving 480 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.

A deep learning approach for brain tumor classification using MRI images

2022 153 citations Muhammad Aamir, Zia-ur Rahman et al. Computers & Electrical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Waheed Ahmed Abro China	13	257	246	217	76	52	19	500
Mohd Abdul Hameed India	8	184 0.7×	220 0.9×	245 1.1×	40 0.5×	97 1.9×	27	456
Ahmet İlhan Cyprus	8	137 0.5×	137 0.6×	137 0.6×	23 0.3×	79 1.5×	18	424
Arshia Rehman Pakistan	8	261 1.0×	446 1.8×	373 1.7×	34 0.4×	159 3.1×	9	673
Suresh Pabboju India	9	137 0.5×	125 0.5×	94 0.4×	63 0.8×	22 0.4×	44	303
Mohammad Abrar Pakistan	15	216 0.8×	163 0.7×	191 0.9×	100 1.3×	131 2.5×	41	546
Abdel-Badeeh M. Salem Egypt	10	211 0.8×	346 1.4×	430 2.0×	18 0.2×	92 1.8×	23	648
Jyostna Devi Bodapati India	13	199 0.8×	267 1.1×	167 0.8×	24 0.3×	314 6.0×	37	621
S. Ramathilagam India	11	166 0.6×	219 0.9×	65 0.3×	22 0.3×	38 0.7×	21	384
Nidhi Gupta India	10	85 0.3×	195 0.8×	164 0.8×	28 0.4×	59 1.1×	36	400
Balajee Maram India	9	109 0.4×	108 0.4×	78 0.4×	36 0.5×	78 1.5×	65	334

Countries citing papers authored by Waheed Ahmed Abro

Since Specialization

Citations

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

Fields of papers citing papers by Waheed Ahmed Abro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Waheed Ahmed Abro. 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 Waheed Ahmed Abro. The network helps show where Waheed Ahmed Abro may publish in the future.

Co-authorship network of co-authors of Waheed Ahmed Abro

This figure shows the co-authorship network connecting the top 25 collaborators of Waheed Ahmed Abro. A scholar is included among the top collaborators of Waheed Ahmed Abro 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 Waheed Ahmed Abro. Waheed Ahmed Abro 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:

19 of 19 papers shown

Aamir, Muhammad, et al.. (2025). From CNNs to Transformers: A Review of Evolving Deep Learning Architectures for Brain Tumor Classification. IEEE Access. 13. 184918–184936.

Aamir, Muhammad, et al.. (2025). An automated deep learning framework for brain tumor classification using MRI imagery. Scientific Reports. 15(1). 17593–17593. 5 indexed citations

Rahman, Ziaur, et al.. (2023). Brain tumor classification utilizing deep features derived from high-quality regions in MRI images. Biomedical Signal Processing and Control. 85. 104988–104988. 36 indexed citations

Abro, Waheed Ahmed, Guilin Qi, Muhammad Aamir, & Zafar Ali. (2022). Joint intent detection and slot filling using weighted finite state transducer and BERT. Applied Intelligence. 52(15). 17356–17370. 21 indexed citations

Aamir, Muhammad, Zia-ur Rahman, Zaheer Ahmed Dayo, et al.. (2022). A deep learning approach for brain tumor classification using MRI images. Computers & Electrical Engineering. 101. 108105–108105. 153 indexed citations breakdown →

Abro, Waheed Ahmed, et al.. (2022). Natural language understanding for argumentative dialogue systems in the opinion building domain. Knowledge-Based Systems. 242. 108318–108318. 22 indexed citations

Ali, Zafar, Guilin Qi, Khan Muhammad, et al.. (2021). Citation recommendation employing heterogeneous bibliographic network embedding. Neural Computing and Applications. 34(13). 10229–10242. 18 indexed citations

Guan, Yurong, Muhammad Aamir, Zaheer Ahmed Dayo, et al.. (2021). A Coordinated Optimization Model of the Complex System of the Green Supply Chain Distribution Network. Discrete Dynamics in Nature and Society. 2021. 1–12. 5 indexed citations

Guan, Yurong, Muhammad Aamir, Zia-ur Rahman, et al.. (2021). A framework for efficient brain tumor classification using MRI images. Mathematical Biosciences & Engineering. 18(5). 5790–5815. 59 indexed citations

10.

Guan, Yurong, Muhammad Aamir, Zhihua Hu, et al.. (2021). A Region-Based Efficient Network for Accurate Object Detection. Traitement du signal. 38(2). 481–494. 14 indexed citations

11.

Aamir, Muhammad, Neelam Mukhtar, Mohammad Abid Khan, et al.. (2021). An Unsupervised Graph-Based Hybrid Approach for Opinion Summarization. 83–88. 1 indexed citations

12.

Guan, Yurong, Muhammad Aamir, Zhihua Hu, et al.. (2021). An Object Detection Framework Based on Deep Features and High-Quality Object Locations. Traitement du signal. 38(3). 719–730. 12 indexed citations

13.

Ali, Zafar, et al.. (2020). Paper recommendation based on heterogeneous network embedding. Knowledge-Based Systems. 210. 106438–106438. 58 indexed citations

14.

Abro, Waheed Ahmed, Guilin Qi, Zafar Ali, Yansong Feng, & Muhammad Aamir. (2020). Multi-turn intent determination and slot filling with neural networks and regular expressions. Knowledge-Based Systems. 208. 106428–106428. 32 indexed citations

15.

Liu, Feng, et al.. (2020). A cross-lingual sentiment topic model evolution over time. Intelligent Data Analysis. 24(2). 253–266. 4 indexed citations

16.

Aamir, Muhammad, et al.. (2019). An Optimized Architecture of Image Classification Using Convolutional Neural Network. International Journal of Image Graphics and Signal Processing. 11(10). 30–39. 24 indexed citations

17.

Abro, Waheed Ahmed, et al.. (2019). Multi-turn Intent Determination for Goal-oriented Dialogue systems. 16 indexed citations

18.

Aamir, Muhammad, et al.. (2019). Image Enhancement in Varying Light Conditions Based on Wavelet Transform. 317–322. 8 indexed citations

19.

Aamir, Muhammad, Yi‐Fei Pu, Zia-ur Rahman, et al.. (2018). A Hybrid Proposed Framework for Object Detection and Classification. Journal of Information Processing Systems. 14(5). 1176–1194. 12 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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