Huma Zia
- Water Science and Technology top 10%
- Water Quality Monitoring Technologies 10
- Hydrology and Watershed Management Studies 4
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI 6
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- Autonomous Vehicle Technology and Safety 5
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- Advanced Neural Network Applications 5
- Video Surveillance and Tracking Methods 3
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- Fish Ecology and Management Studies 4
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- IoT and Edge/Fog Computing 3
- Co-authors
- Nick HarrisGeoff V. MerrettNeil ColesMuhammad KhurramMohammed GhazalJawad YousafMarah AlhalabiMohammad Alkhedher
- Journals
- Computers and Electronics in Agriculture (2 papers)Engineering Applications of Artificial Intelligence (2 papers)Scientific Reports (1 paper)
- Partner nations
- United Arab EmiratesUnited KingdomPakistan
In The Last Decade
Huma Zia
40 papers receiving 343 citations
Peers
Comparison fields: 5 of 103
- Water Science and Technology 128
- Environmental Engineering 82
- Soil Science 28
- Geology 11
- Plant Science 71
Countries citing papers authored by Huma Zia
This map shows the geographic impact of Huma Zia'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 Huma Zia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huma Zia more than expected).
Fields of papers citing papers by Huma Zia
This network shows the impact of papers produced by Huma Zia. 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 Huma Zia. The network helps show where Huma Zia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huma Zia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 27 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 5 | |
| 18 | How could sensor networks help with agriculturalwater management issues | 2015 | 1 |
| 19 | 2014 | 3 | |
| 20 | Collaborative catchment-scale water quality management usingintegrated wireless sensor networks | 2013 | 3 |
About Huma Zia
Huma Zia is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition, Human-Computer Interaction, Environmental Engineering and Automotive Engineering, having authored 48 papers that have together received 359 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (10 papers), Hydrological Forecasting Using AI (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (5 papers), Fish Ecology and Management Studies (4 papers), Hydrology and Watershed Management Studies (4 papers), IoT and Edge/Fog Computing (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Water Science and Technology (128 citations), Environmental Engineering (82 citations), Soil Science (28 citations), Geology (11 citations) and Plant Science (71 citations). Huma Zia has collaborated with scholars based in United Arab Emirates, United Kingdom and Pakistan. Frequent co-authors include Nick Harris, Geoff V. Merrett, Neil Coles, Muhammad Khurram, Mohammed Ghazal, Jawad Yousaf, Marah Alhalabi, Mohammad Alkhedher, Eqab Almajali and Ashraf Khalil. Their work appears in journals such as Computers and Electronics in Agriculture, Engineering Applications of Artificial Intelligence, Scientific Reports, Array and Foods.
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.