Muhammad Adeel Hassan

1.9k total citations · 3 hit papers
29 papers, 1.3k citations indexed

About

Muhammad Adeel Hassan is a scholar working on Plant Science, Ecology and Genetics. According to data from OpenAlex, Muhammad Adeel Hassan has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 13 papers in Ecology and 7 papers in Genetics. Recurrent topics in Muhammad Adeel Hassan's work include Remote Sensing in Agriculture (12 papers), Wheat and Barley Genetics and Pathology (11 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Muhammad Adeel Hassan is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Wheat and Barley Genetics and Pathology (11 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Muhammad Adeel Hassan collaborates with scholars based in China, Pakistan and United States. Muhammad Adeel Hassan's co-authors include Yonggui Xiao, Zhonghu He, Awais Rasheed, Xianchun Xia, Mengjiao Yang, Matthew Reynolds, Shuaipeng Fei, Guijun Yang, Yuntao Ma and Qian Cheng and has published in prestigious journals such as PLANT PHYSIOLOGY, Remote Sensing of Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Muhammad Adeel Hassan

28 papers receiving 1.2k 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 rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform

2018 291 citations Muhammad Adeel Hassan, Mengjiao Yang et al. Plant Science profile →
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat

2022 191 citations Shuaipeng Fei, Muhammad Adeel Hassan et al. Precision Agriculture profile →
Artificial intelligence in plant breeding

2024 81 citations Shang Gao, Muhammad Adeel Hassan et al. Trends in Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Adeel Hassan China	16	887	679	301	159	142	29	1.3k
Benoît de Solan France	16	930 1.0×	728 1.1×	341 1.1×	200 1.3×	92 0.6×	30	1.2k
Omar Vergara‐Díaz Spain	20	1.1k 1.3×	772 1.1×	329 1.1×	143 0.9×	126 0.9×	37	1.5k
Yonggui Xiao China	19	1.1k 1.3×	900 1.3×	391 1.3×	213 1.3×	173 1.2×	36	1.6k
David M. Deery Australia	14	1.0k 1.2×	605 0.9×	330 1.1×	96 0.6×	228 1.6×	22	1.4k
Nadia Shakoor United States	16	829 0.9×	592 0.9×	347 1.2×	150 0.9×	233 1.6×	36	1.4k
Weiliang Wen China	19	1.0k 1.2×	507 0.7×	368 1.2×	129 0.8×	138 1.0×	90	1.4k
Chengming Sun China	21	845 1.0×	505 0.7×	227 0.8×	279 1.8×	60 0.4×	99	1.3k
Juan Landivar United States	22	993 1.1×	765 1.1×	498 1.7×	106 0.7×	53 0.4×	59	1.4k
Yeyin Shi United States	23	1.1k 1.3×	823 1.2×	436 1.4×	235 1.5×	49 0.3×	80	1.8k
Alexis Comar France	18	1.1k 1.3×	1.2k 1.8×	668 2.2×	216 1.4×	102 0.7×	25	1.7k

Countries citing papers authored by Muhammad Adeel Hassan

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Adeel Hassan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Adeel Hassan. 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 Muhammad Adeel Hassan. The network helps show where Muhammad Adeel Hassan may publish in the future.

Co-authorship network of co-authors of Muhammad Adeel Hassan

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

All Works

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20 of 20 papers shown

Hassan, Muhammad Adeel, et al.. (2025). Assessing fiber quality variability among modern upland cotton cultivars and incorporating it into the GOSSYM-based fiber quality simulation model. Journal of Cotton Research. 8(1).

Hassan, Muhammad Adeel & C. Y. Chang. (2025). PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments. Plant Phenomics. 7(2). 100047–100047. 3 indexed citations

Li, Lei, Muhammad Adeel Hassan, Guoliang Wan, et al.. (2025). RGB imaging and computer vision-based approaches for identifying spike number loci for wheat. Plant Phenomics. 7(2). 100051–100051. 1 indexed citations

Chang, C. Y., Muhammad Adeel Hassan, Tommaso Julitta, & Andreas Burkart. (2024). Coupling sun-induced chlorophyll fluorescence (SIF) with soil-plant-atmosphere research (SPAR) chambers to advance applications of SIF for crop stress research. Remote Sensing of Environment. 315. 114462–114462. 3 indexed citations

Teng, Zi, Yaguang Luo, Jianghao Sun, et al.. (2024). Effect of Far-Red Light on Biomass Accumulation, Plant Morphology, and Phytonutrient Composition of Ruby Streaks Mustard at Microgreen, Baby Leaf, and Flowering Stages. Journal of Agricultural and Food Chemistry. 72(17). 9587–9598. 4 indexed citations

Hassan, Muhammad Adeel, P. Ramamoorthy, Raju Bheemanahalli, et al.. (2024). Hyperspectral Reflectance-Based High Throughput Phenotyping to Assess Water-Use Efficiency in Cotton. Agriculture. 14(7). 1054–1054. 4 indexed citations

Gao, Shang, Muhammad Adeel Hassan, Awais Rasheed, et al.. (2024). Artificial intelligence in plant breeding. Trends in Genetics. 40(10). 891–908. 81 indexed citations breakdown →

Hassan, Muhammad Adeel, Shuaipeng Fei, Lei Li, et al.. (2022). Stacking of Canopy Spectral Reflectance from Multiple Growth Stages Improves Grain Yield Prediction under Full and Limited Irrigation in Wheat. Remote Sensing. 14(17). 4318–4318. 4 indexed citations

Fei, Shuaipeng, Muhammad Adeel Hassan, Yonggui Xiao, et al.. (2022). UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat. Precision Agriculture. 24(1). 187–212. 191 indexed citations breakdown →

10.

Hassan, Muhammad Adeel, et al.. (2022). Horticultural, chemical and genetic diversity using SSR markers in Leek germplasm collection. Scientia Horticulturae. 311. 111782–111782. 3 indexed citations

11.

Hassan, Muhammad Adeel, et al.. (2022). Root system architecture of historical spring wheat cultivars is associated with alleles and transcripts of major functional genes. BMC Plant Biology. 22(1). 590–590. 16 indexed citations

12.

Hassan, Muhammad Adeel, Mengjiao Yang, Awais Rasheed, et al.. (2021). Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping. PLANT PHYSIOLOGY. 187(4). 2623–2636. 30 indexed citations

13.

Yang, Mengjiao, Cairong Wang, Muhammad Adeel Hassan, et al.. (2021). QTL mapping of root traits in wheat under different phosphorus levels using hydroponic culture. BMC Genomics. 22(1). 174–174. 27 indexed citations

14.

Fei, Shuaipeng, Muhammad Adeel Hassan, Yuntao Ma, et al.. (2021). Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data. Frontiers in Plant Science. 12. 730181–730181. 27 indexed citations

15.

Khan, Adil, Adil Khan, Sadaf Niaz, et al.. (2020). Molecular detection of small ruminant piroplasmosis and first report of Theileria luwenshuni (Apicomplexa: Theileridae) in small ruminants of Pakistan. Experimental Parasitology. 212. 107872–107872. 19 indexed citations

16.

Rasheed, Awais, Shigeo Takumi, Muhammad Adeel Hassan, et al.. (2020). Appraisal of wheat genomics for gene discovery and breeding applications: a special emphasis on advances in Asia. Theoretical and Applied Genetics. 133(5). 1503–1520. 11 indexed citations

17.

Yang, Mengjiao, Muhammad Adeel Hassan, Kaijie Xu, et al.. (2020). Assessment of Water and Nitrogen Use Efficiencies Through UAV-Based Multispectral Phenotyping in Winter Wheat. Frontiers in Plant Science. 11. 927–927. 69 indexed citations

18.

Hassan, Muhammad Adeel, Mengjiao Yang, Luping Fu, et al.. (2019). Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat. Plant Methods. 15(1). 37–37. 99 indexed citations

19.

Hassan, Muhammad Adeel, Mengjiao Yang, Awais Rasheed, et al.. (2018). A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform. Plant Science. 282. 95–103. 291 indexed citations breakdown →

20.

Hassan, Muhammad Adeel, Mengjiao Yang, Awais Rasheed, et al.. (2018). Time-Series Multispectral Indices from Unmanned Aerial Vehicle Imagery Reveal Senescence Rate in Bread Wheat. Remote Sensing. 10(6). 809–809. 137 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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