Sajid Ullah

463 citations
18 papers · 238 · 2 hit papers · h-index 9

Impact in

Papers in

Sajid Ullah

15 papers receiving 234 citations

Sajid Ullah's Hit Papers

Impact assessment of planned and unplanned urbanization on land surface temperature in Afghanistan using machine learning algorithms: a path toward sustainability 2025 · 26 citations
260Years since publication510152025

Peers

Sajid Ullah
Comparison fields: 5 of 73
  • Environmental Engineering 50
  • Global and Planetary Change 47
  • Atmospheric Science 22
  • Artificial Intelligence 39
  • Management Science and Operations Research 14
Replace Norashidah Md Din with:
Norashidah Md Din Malaysia
Nianxue Luo China
Francis Ifeanyi Okeke Nigeria
P. Sarwesh India
Junaid Aziz Khan Pakistan
Hao Zhao China
Sa‐Aat Niwitpong Thailand
Ana Dyreson United States
Vera van Zoest Sweden
Yanbo Shen China
Sajid Ullah relative to Norashidah Md Din Malaysia Norashidah Md Din's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Sajid Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Sajid Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sajid Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sajid Ullah Line = papers co-authored together Sajid Ullah links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202178
2 202428
3
Impact assessment of planned and unplanned urbanization on land surface temperature in Afghanistan using machine learning algorithms: a path toward sustainability
Hit paper breakdown →
202526
4
Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models
Hit paper breakdown →
202524
5 202514
6 202514
7 202510
8 20259
9 20258
10 20257
11 20256
12 20256
13 20254
14 20253
15 20251
16 20250
17 20260
18 20250

About Sajid Ullah

Sajid Ullah is a scholar working on Environmental Engineering, Global and Planetary Change, Information Systems, Computer Vision and Pattern Recognition and Ecology, having authored 18 papers that have together received 238 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), Land Use and Ecosystem Services (4 papers), Urban Heat Island Mitigation (4 papers), Energy Load and Power Forecasting (2 papers), Remote Sensing and Land Use (2 papers), Urban Green Space and Health (2 papers), Infrastructure Maintenance and Monitoring (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Environmental Engineering (50 citations), Global and Planetary Change (47 citations), Atmospheric Science (22 citations), Artificial Intelligence (39 citations) and Management Science and Operations Research (14 citations). Sajid Ullah has collaborated with scholars based in Afghanistan, Pakistan and China. Frequent co-authors include Aqil Tariq, Min Liu, Xi Chen, Qingli Li, Honggang Qi, Dianming Wu, Yundong Zhang, Jihui Liu, Zhiqiang Li and Abdullah Ayub Khan. Their work appears in journals such as Scientific Reports, Energy, Artificial Intelligence Review, Environment Development and Sustainability and Journal Of Big Data.

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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