Sajjad Saeed

1.3k total citations · 1 hit paper
38 papers, 953 citations indexed

About

Sajjad Saeed is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Sajjad Saeed has authored 38 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 11 papers in Nature and Landscape Conservation and 8 papers in Ecology. Recurrent topics in Sajjad Saeed's work include Forest ecology and management (11 papers), Remote Sensing and LiDAR Applications (7 papers) and Land Use and Ecosystem Services (4 papers). Sajjad Saeed is often cited by papers focused on Forest ecology and management (11 papers), Remote Sensing and LiDAR Applications (7 papers) and Land Use and Ecosystem Services (4 papers). Sajjad Saeed collaborates with scholars based in China, Pakistan and South Korea. Sajjad Saeed's co-authors include Yujun Sun, Chen Li-ping, Abdul Mannan, Adnan Ahmad, Tauheed Ullah Khan, Zhongke Feng, Qijing Liu, Mukete Beckline, Syed Moazzam Nizami and Chaoyong Shen and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Sajjad Saeed

35 papers receiving 936 citations

Hit Papers

Monitoring and predicting land use and land cover changes... 2018 2026 2020 2023 2018 100 200 300
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.

  1. Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China
    2018 375 citations Chen Li-ping, Yujun Sun et al. PLoS ONE profile →

Peers

Sajjad Saeed
Yujun Sun China
Fatih Sivrikaya Türkiye
Guillaume Cornu France
José Marinaldo Gleriani Brazil
D. de C. Victoria Brazil
Wang Li China
Ján Oťaheľ Slovakia
Hammad Gilani Nepal
Bronwyn Price Switzerland
Édson Luís Bolfe Brazil
Yujun Sun China
Sajjad Saeed
Citations per year, relative to Sajjad Saeed Sajjad Saeed (= 1×) peers Yujun Sun

Countries citing papers authored by Sajjad Saeed

Since Specialization
Citations

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

Fields of papers citing papers by Sajjad Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajjad Saeed. 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 Sajjad Saeed. The network helps show where Sajjad Saeed may publish in the future.

Co-authorship network of co-authors of Sajjad Saeed

This figure shows the co-authorship network connecting the top 25 collaborators of Sajjad Saeed. A scholar is included among the top collaborators of Sajjad Saeed 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 Sajjad Saeed. Sajjad Saeed 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.
Saeed, Sajjad, et al.. (2025). Optimizing NACA airfoils for sustainable medical delivery UAVs: Aerodynamic analysis. 2(2). 100067–100067.
2.
Khan, Sanan H., et al.. (2025). Aerodynamic analysis and ANN-based optimization of NACA airfoils for enhanced UAV performance. Scientific Reports. 15(1). 11998–11998.
3.
4.
Yang, Xiaohui, et al.. (2021). DYNAMICS OF SOIL NUTRIENTS AND STOICHIOMETRY IN MONGOLIAN SCOTS PINE (PINUS SYLVESTRIS VAR. MONGOLICA) PLANTATION, IN A SEMIARID AREA OF CHINA. Applied Ecology and Environmental Research. 19(3). 1735–1751. 1 indexed citations
5.
Zhang, Bo, et al.. (2021). Site Classes Grouping Method Based on Quantile Regression of Chinese Fir Plantations. 34(4). 103–110. 1 indexed citations
6.
Fiaz, Sajid, Sunny Ahmar, Sajjad Saeed, et al.. (2021). Evolution and Application of Genome Editing Techniques for Achieving Food and Nutritional Security. International Journal of Molecular Sciences. 22(11). 5585–5585. 28 indexed citations
7.
Wang, Yifu, et al.. (2020). Generalized Nonlinear Mixed-Effect Model of Individual TREE Height to Crown Base forLarix OlgensisHenry in Northeast China. Journal of Sustainable Forestry. 39(8). 827–840. 12 indexed citations
8.
Feng, Zhongke, Chaoyong Shen, Tauheed Ullah Khan, et al.. (2020). A trunk-based SLAM backend for smartphones with online SLAM in large-scale forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing. 162. 41–49. 27 indexed citations
9.
Saeed, Sajjad, et al.. (2019). Soil carbon storage potential in deodar (Cedrus deodara) Forest of Kumrat Valley, Pakistan. International Journal of Biosciences (IJB). 14(3). 92–99. 1 indexed citations
10.
Saeed, Sajjad, et al.. (2019). ALTITUDINAL GRADIENTS AND FOREST EDGE EFFECT ON SOIL ORGANIC CARBON IN CHINESE FIR (CUNNINGHAMIA LANCEOLATA): A STUDY FROM SOUTHEASTERN CHINA. Applied Ecology and Environmental Research. 17(1). 745–757. 16 indexed citations
11.
Mannan, Abdul, et al.. (2019). CO2 EMISSION TRENDS AND RISK ZONE MAPPING OF FOREST FIRES IN SUBTROPICAL AND MOIST TEMPERATE FORESTS OF PAKISTAN. Applied Ecology and Environmental Research. 17(2). 2983–3002. 6 indexed citations
12.
Saeed, Sajjad, et al.. (2019). Image classification based on the linear unmixing and GEOBIA. Environmental Monitoring and Assessment. 191(11). 649–649. 3 indexed citations
13.
Zhou, Lai, et al.. (2019). The relationships between water storage and biomass components in two conifer species. PeerJ. 7. e7901–e7901. 2 indexed citations
14.
Khan, Tauheed Ullah, Xiaofeng Luan, Shahid Ahmad, et al.. (2019). Status and Magnitude of Grey Wolf Conflict with Pastoral Communities in the Foothills of the Hindu Kush Region of Pakistan. Animals. 9(10). 787–787. 14 indexed citations
15.
Mannan, Abdul, Jincheng Liu, Zhongke Feng, et al.. (2019). Application of land-use/land cover changes in monitoring and projecting forest biomass carbon loss in Pakistan. Global Ecology and Conservation. 17. e00535–e00535. 54 indexed citations
16.
17.
Li-ping, Chen, Yujun Sun, & Sajjad Saeed. (2018). Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China. PLoS ONE. 13(7). e0200493–e0200493. 375 indexed citations breakdown →
18.
Feng, Zhongke, et al.. (2018). Estimating Tree Position, Diameter at Breast Height, and Tree Height in Real-Time Using a Mobile Phone with RGB-D SLAM. Remote Sensing. 10(11). 1845–1845. 69 indexed citations
19.
Sun, Yujun, et al.. (2017). Models for Predicting the Biomass of Cunninghamialanceolata Trees and Stands in Southeastern China. PLoS ONE. 12(1). e0169747–e0169747. 19 indexed citations
20.
Saeed, Sajjad, Muhammad Irfan Ashraf, Adnan Ahmad, & Muhammad Ziaur Rahman. (2016). The Bela Forest Ecosystem of District Jhelum, a Potential Carbon Sink. Pakistan Journal of Botany. 48(1). 121–129. 21 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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