Syam M.S.

543 total citations · 1 hit paper
15 papers, 266 citations indexed

About

Syam M.S. is a scholar working on Electrical and Electronic Engineering, Ecology and Media Technology. According to data from OpenAlex, Syam M.S. has authored 15 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Ecology and 3 papers in Media Technology. Recurrent topics in Syam M.S.'s work include Energy Harvesting in Wireless Networks (3 papers), Remote Sensing in Agriculture (3 papers) and Smart Agriculture and AI (3 papers). Syam M.S. is often cited by papers focused on Energy Harvesting in Wireless Networks (3 papers), Remote Sensing in Agriculture (3 papers) and Smart Agriculture and AI (3 papers). Syam M.S. collaborates with scholars based in China, Saudi Arabia and United Arab Emirates. Syam M.S.'s co-authors include Uzair Aslam Bhatti, Mughair Aslam Bhatti, Yazeed Yasin Ghadi, Emad Mahrous Awwad, Mohamed Sharaf, Hao Tang, Asad Khan, Ahmad Hasnain, Shah Marjan and Hao Tang and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Sensors.

In The Last Decade

Syam M.S.

14 papers receiving 256 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.

Global production patterns: Understanding the relationship between greenhouse gas emissions, agriculture greening and climate variability

2023 94 citations Uzair Aslam Bhatti, Mughair Aslam Bhatti et al. Environmental Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Syam M.S. China	9	39	38	36	33	31	15	266
Junfeng Hu China	10	134 3.4×	55 1.4×	58 1.6×	20 0.6×	48 1.5×	22	376
Zhiyuan Yang China	12	104 2.7×	72 1.9×	56 1.6×	12 0.4×	33 1.1×	80	484
Javier Morales Netherlands	8	20 0.5×	25 0.7×	29 0.8×	8 0.2×	53 1.7×	29	334
Haitao Zhu China	5	16 0.4×	21 0.6×	49 1.4×	26 0.8×	46 1.5×	12	361
Xiaoling Fu China	11	27 0.7×	26 0.7×	12 0.3×	9 0.3×	70 2.3×	46	333
Jiacheng Yang China	8	53 1.4×	17 0.4×	18 0.5×	35 1.1×	57 1.8×	29	237
Divas Karimanzira Germany	14	23 0.6×	55 1.4×	29 0.8×	33 1.0×	76 2.5×	44	545
Dongjun Kim South Korea	11	9 0.2×	32 0.8×	8 0.2×	29 0.9×	29 0.9×	29	352
Yiming Sun China	10	33 0.8×	30 0.8×	23 0.6×	11 0.3×	47 1.5×	45	274

Countries citing papers authored by Syam M.S.

Since Specialization

Citations

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

Fields of papers citing papers by Syam M.S.

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syam M.S.

This figure shows the co-authorship network connecting the top 25 collaborators of Syam M.S.. A scholar is included among the top collaborators of Syam M.S. 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 Syam M.S.. Syam M.S. 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:

15 of 15 papers shown

Huang, Mengxing, Syam M.S., Yu Zhang, et al.. (2025). CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 5853–5865. 12 indexed citations

Liu, Zehua, Jiuhao Li, Syam M.S., et al.. (2024). Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective. Big Data Research. 36. 100449–100449. 11 indexed citations

Bazai, Sibghat Ullah, Asad Khan, Meie Fang, et al.. (2024). DLGAN: Undersampled MRI reconstruction using Deep Learning based Generative Adversarial Network. Biomedical Signal Processing and Control. 93. 106218–106218. 10 indexed citations

Bhatti, Uzair Aslam, et al.. (2024). Towards explainability for AI-based edge wireless signal automatic modulation classification. Journal of Cloud Computing Advances Systems and Applications. 13(1). 7 indexed citations

Bhatti, Mughair Aslam, Zeeshan Zeeshan, Syam M.S., et al.. (2024). Advanced Plant Disease Segmentation in Precision Agriculture Using Optimal Dimensionality Reduction With Fuzzy C-Means Clustering and Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18264–18277. 19 indexed citations

M.S., Syam, et al.. (2024). Social media’s dark secrets: A propagation, lexical and psycholinguistic oriented deep learning approach for fake news proliferation. Expert Systems with Applications. 255. 124650–124650. 5 indexed citations

Bhatti, Mughair Aslam, Syam M.S., Huafeng Chen, et al.. (2024). Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach. Big Data Research. 36. 100465–100465. 11 indexed citations

Bhatti, Uzair Aslam, Shah Marjan, Abdul Wahid, et al.. (2023). The effects of socioeconomic factors on particulate matter concentration in China's: New evidence from spatial econometric model. Journal of Cleaner Production. 417. 137969–137969. 38 indexed citations

Khan, Asad, et al.. (2023). Deep Learning Techniques for Vehicle Detection and Classification from Images/Videos: A Survey. Sensors. 23(10). 4832–4832. 33 indexed citations

10.

Bhatti, Uzair Aslam, Mughair Aslam Bhatti, Hao Tang, et al.. (2023). Global production patterns: Understanding the relationship between greenhouse gas emissions, agriculture greening and climate variability. Environmental Research. 245. 118049–118049. 94 indexed citations breakdown →

11.

M.S., Syam, et al.. (2022). Energy-Efficient Intelligent Reflecting Surface Aided Wireless-Powered IIoT Networks. IEEE Systems Journal. 17(2). 2534–2545. 4 indexed citations

12.

M.S., Syam, et al.. (2019). Joint Downlink-Uplink Throughput optimization in Wireless Powered Communication Networks. 852–857. 1 indexed citations

13.

M.S., Syam, et al.. (2019). Uplink Throughput Maximization for Low Latency in Wireless Powered Communication Networks. 1002–1006.

14.

M.S., Syam, et al.. (2013). Hardware implementation of GCPVS using isolated Cuk converter. 1–6. 2 indexed citations

15.

M.S., Syam, et al.. (2013). Grid connected PV system using Cuk converter. 1–6. 19 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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