Ather Abbas

1.2k citations

34 papers · 904 indexed · h-index 18

Impact in

Water Science and Technology top 5%
- Water Quality Monitoring Technologies
- Hydrology and Watershed Management Studies
Industrial and Manufacturing Engineering top 5%
- Water Quality Monitoring and Analysis

Papers in ⓘ

Water Science and Technology 20
- Hydrology and Watershed Management Studies 11
- Water Quality Monitoring Technologies 6
Environmental Engineering 18
- Hydrological Forecasting Using AI 14
- Groundwater flow and contamination studies 4

Co-authors: Kyung Hwa Cho (26 shared papers)Zeeshan Haider Jaffari (8 shared papers)Kangmin Chon (2 shared papers)Sanghun Park (2 shared papers)Sang‐Soo Baek (8 shared papers)Kwanho Jeong (2 shared papers)Jingyeong Shin (2 shared papers)Young Mo Kim (2 shared papers)
Journals: Journal of Hazardous Materials (4 papers)Journal of Hydrology (3 papers)Water Research (3 papers)Journal of Cleaner Production (2 papers)GIScience & Remote Sensing (2 papers)
Partner nations: South Korea Saudi Arabia United States

In The Last Decade

Ather Abbas

32 papers receiving 883 citations

Peers

Countries citing papers authored by Ather Abbas

Since Specialization

Citations

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

Fields of papers citing papers by Ather Abbas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts Journal of Materials Chemistry A ·Muhammad Umer, Sohaib Umer, Mohammad Zafari, Miran Ha, Rohit Anand, Amir Hajibabaei, Ather Abbas, Geunsik Lee, Kwang S. Kim	2022	137
2	Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green Journal of Hazardous Materials ·Zeeshan Haider Jaffari, Ather Abbas, Sze–Mun Lam, Sanghun Park, Kangmin Chon, Eun-Sik Kim, Kyung Hwa Cho	2022	113
3	Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models Water Research ·Kwanho Jeong, Ather Abbas, Jingyeong Shin, Moon Son, Young Mo Kim, Kyung Hwa Cho	2021	75
4	Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents Journal of Hazardous Materials ·Zeeshan Haider Jaffari, Ather Abbas, Chang‐Min Kim, Jaegwan Shin, Jinwoo Kwak, Changgil Son, Yong-Gu Lee, Sangwon Kim, Kangmin Chon, Kyung Hwa Cho	2023	67
5	Machine learning analysis to interpret the effect of the photocatalytic reaction rate constant (k) of semiconductor-based photocatalysts on dye removal Journal of Hazardous Materials ·Chang‐Min Kim, Zeeshan Haider Jaffari, Ather Abbas, Mir Ferdous Chowdhury, Kyung Hwa Cho	2023	49
6	Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant Desalination ·Nakyung Yoon, Jihye Kim, Jaelim Lim, Ather Abbas, Kwanho Jeong, Kyung Hwa Cho	2021	43
7	Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models Water Research ·Jiyi Jang, Ather Abbas, Minjeong Kim, Jingyeong Shin, Young Mo Kim, Kyung Hwa Cho	2021	39
8	Long short-term memory models of water quality in inland water environments Water Research X ·JongCheol Pyo, Yakov Pachepsky, Soobin Kim, Ather Abbas, Minjeong Kim, Yong Sung Kwon, Mayzonee Ligaray, Kyung Hwa Cho	2023	39
9	Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams Journal of Hydrology ·Ather Abbas, Minji Park, Sang‐Soo Baek, Kyung Hwa Cho	2023	32
10	Artificial neural networks for insights into adsorption capacity of industrial dyes using carbon-based materials Separation and Purification Technology ·Sara Iftikhar, Nallain Zahra, Fazila Rubab, Raazia Abrar Sumra, Muhammad Burhan Khan, Ather Abbas, Zeeshan Haider Jaffari	2023	30
11	An open-source deep learning model for predicting effluent concentration in capacitive deionization The Science of The Total Environment ·Moon Son, Nakyung Yoon, Sanghun Park, Ather Abbas, Kyung Hwa Cho	2022	25
12	Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system Environmental Modelling & Software ·Seok Min Hong, Ather Abbas, Soobin Kim, Do Hyuck Kwon, Nakyung Yoon, Daeun Yun, Sanguk Lee, Yakov Pachepsky, JongCheol Pyo, Kyung Hwa Cho	2023	23
13	Developing a deep learning model for the simulation of micro-pollutants in a watershed Journal of Cleaner Production ·Daeun Yun, Ather Abbas, Junho Jeon, Mayzonee Ligaray, Sang‐Soo Baek, Kyung Hwa Cho	2021	23
14	AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods Geoscientific model development ·Ather Abbas, Laurie Boithias, Yakov Pachepsky, Kyunghyun Kim, Jong Ahn Chun, Kyung Hwa Cho	2022	22
15	Adsorption of Cr(VI) ions onto fluorine-free niobium carbide (MXene) and machine learning prediction with high precision Journal of environmental chemical engineering ·Rehan Ishtiaq, Nallain Zahra, Sara Iftikhar, Fazila Rubab, Khawar Sultan, Ather Abbas, Sze–Mun Lam, Zeeshan Haider Jaffari, Ki Young Park	2024	21
16	Deep learning-based super-resolution for harmful algal bloom monitoring of inland water GIScience & Remote Sensing ·Do Hyuck Kwon, Seok Min Hong, Ather Abbas, Sanghyun Park, Gibeom Nam, Jae-Hyun Yoo, Kyunghyun Kim, Hong Tae Kim, JongCheol Pyo, Kyung Hwa Cho	2023	21
17	Surface and sub-surface flow estimation at high temporal resolution using deep neural networks Journal of Hydrology ·Ather Abbas, Sang‐Soo Baek, Minjeong Kim, Mayzonee Ligaray, Olivier Ribolzi, Norbert Silvera, Joong‐Hyuk Min, Laurie Boithias, Kyung Hwa Cho	2020	18
18	Digital imaging-in-flow (FlowCAM) and probabilistic machine learning to assess the sonolytic disinfection of cyanobacteria in sewage wastewater Journal of Hazardous Materials ·Zeeshan Haider Jaffari, Seongyeon Na, Ather Abbas, Ki Young Park, Kyung Hwa Cho	2024	17
19	Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay Journal of Hydrology ·Jiye Lee, Ather Abbas, Gregory W. McCarty, Xuesong Zhang, Sang‐Chul Lee, Kyung Hwa Cho	2022	17
20	Crystal graph convolution neural networks for fast and accurate prediction of adsorption ability of Nb₂CT_x towards Pb(ii) and Cd(ii) ions Journal of Materials Chemistry A ·Zeeshan Haider Jaffari, Ather Abbas, Muhammad Umer, Eun-Sik Kim, Kyung Hwa Cho	2023	16

About Ather Abbas

Ather Abbas is a scholar working on Water Science and Technology, Environmental Engineering, Global and Planetary Change, Industrial and Manufacturing Engineering and Materials Chemistry, having authored 34 papers that have together received 904 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (14 papers), Hydrology and Watershed Management Studies (11 papers), Flood Risk Assessment and Management (8 papers), Water Quality Monitoring Technologies (6 papers), Groundwater flow and contamination studies (4 papers), Water Quality Monitoring and Analysis (3 papers), Anaerobic Digestion and Biogas Production (2 papers) and Groundwater and Isotope Geochemistry (2 papers). The work is most often cited by research in Water Science and Technology (317 citations), Industrial and Manufacturing Engineering (156 citations), Environmental Engineering (212 citations), Renewable Energy, Sustainability and the Environment (209 citations) and Pollution (69 citations). Ather Abbas has collaborated with scholars based in South Korea, Saudi Arabia and United States. Frequent co-authors include Kyung Hwa Cho, Zeeshan Haider Jaffari, Kangmin Chon, Sanghun Park, Sang‐Soo Baek, Kwanho Jeong, Jingyeong Shin, Young Mo Kim, Sze–Mun Lam and Muhammad Umer. Their work appears in journals such as Journal of Hazardous Materials, Journal of Hydrology, Water Research, Journal of Cleaner Production and GIScience & Remote Sensing.

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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