Barjeece Bashir

1.1k citations
26 papers · 817 · 1 hit paper · h-index 13

Impact in

Papers in

Barjeece Bashir

23 papers receiving 803 citations

Barjeece Bashir's Hit Papers

PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data 2019 · 403 citations
4030+2+4Years since publication100200300400

Peers

Barjeece Bashir
Comparison fields: 5 of 94
  • Environmental Engineering 480
  • Health, Toxicology and Mutagenesis 262
  • Global and Planetary Change 357
  • Atmospheric Science 201
  • Ecology 190
Replace Carolina Vagnoli with:
Carolina Vagnoli Italy
Thoreau Rory Tooke Canada
Kristofer Lasko United States
Mehdi Zamani China
Yang Xiang China
Shuai Yin Japan
Lizhong Hua China
Zihao Huang China
Wenliang Li China
Jingli Yan China
Barjeece Bashir relative to Carolina Vagnoli Italy Carolina Vagnoli's profile →
Citations per field
00.5×1.6×
Carolina Vagnoli · 1×
Citations per year

Countries citing papers authored by Barjeece Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Barjeece Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Barjeece Bashir, 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 Barjeece Bashir Line = papers co-authored together Barjeece Bashir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data
Hit paper breakdown →
2019403
2 202094
3 202149
4 202042
5 202036
6 202331
7 202323
8 202020
9 202116
10 202014
11 202114
12 202513
13 202312
14 20209
15 20248
16 20218
17 20226
18 20196
19 20205
20 20213

About Barjeece Bashir

Barjeece Bashir is a scholar working on Global and Planetary Change, Ecology, Environmental Engineering, Atmospheric Science and Health, Toxicology and Mutagenesis, having authored 26 papers that have together received 817 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (12 papers), Land Use and Ecosystem Services (10 papers), Remote Sensing and LiDAR Applications (5 papers), Urban Heat Island Mitigation (5 papers), Remote Sensing and Land Use (4 papers), Urban Green Space and Health (3 papers), Polar Research and Ecology (2 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Environmental Engineering (480 citations), Health, Toxicology and Mutagenesis (262 citations), Global and Planetary Change (357 citations), Atmospheric Science (201 citations) and Ecology (190 citations). Barjeece Bashir has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Chunxiang Cao, Mehdi Zamani, Xiliang Ni, Faisal Mumtaz, Arfan Arshad, Jiahua Zhang, Shahid Naeem, Foyez Ahmed Prodhan, Til Prasad Pangali Sharma and Xiaojuan Lin. Their work appears in journals such as Remote Sensing, Forests, Geomatics Natural Hazards and Risk, The Science of The Total Environment and Water.

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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