Ashu Jain

3.8k citations
53 papers · 3.0k · 1 hit paper · h-index 21

Impact in

Papers in

Ashu Jain

51 papers receiving 2.8k citations

Ashu Jain's Hit Papers

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions 2010 · 697 citations
6970+5+10Years since publication200400600

Peers

Ashu Jain
Comparison fields: 5 of 107
  • Environmental Engineering 2.0k
  • Water Science and Technology 1.6k
  • Global and Planetary Change 1.0k
  • Ocean Engineering 394
  • Civil and Structural Engineering 472
Replace Haitham Abdulmohsin Afan with:
Haitham Abdulmohsin Afan Malaysia
Mohammad Ehteram Iran
H. Kerem Ciğizoğlu Türkiye
Shie‐Yui Liong Singapore
Mohammad Ali Ghorbani Iran
Sungwon Kim South Korea
Rana Muhammad Adnan China
Salim Heddam Algeria
Sinan Q. Salih Vietnam
Ali Danandeh Mehr Türkiye
Ashu Jain relative to Haitham Abdulmohsin Afan Malaysia Haitham Abdulmohsin Afan's profile →
Citations per field
00.5×4.1×
Haitham Abdulmohsin Afan · 1×
Citations per year

Countries citing papers authored by Ashu Jain

Since Specialization
Citations

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

Fields of papers citing papers by Ashu Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions
Hit paper breakdown →
2010697
2 2006360
3 2005258
4 2001224
5 2004194
6 2004153
7 2004136
8 2003127
9 2002120
10 2005109
11 2004100
12 200472
13 200558
14 200243
15 202040
16 200837
17 200835
18 200931
19 202031
20 201225

About Ashu Jain

Ashu Jain is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Artificial Intelligence and Electrical and Electronic Engineering, having authored 53 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (34 papers), Hydrology and Watershed Management Studies (26 papers), Flood Risk Assessment and Management (12 papers), Energy Load and Power Forecasting (7 papers), Hydrology and Drought Analysis (5 papers), Water resources management and optimization (5 papers), Natural Language Processing Techniques (4 papers) and Precipitation Measurement and Analysis (3 papers). The work is most often cited by research in Environmental Engineering (2.0k citations), Water Science and Technology (1.6k citations), Global and Planetary Change (1.0k citations), Ocean Engineering (394 citations) and Civil and Structural Engineering (472 citations). Ashu Jain has collaborated with scholars based in India, United States and Australia. Frequent co-authors include S. Srinivasulu, K. P. Sudheer, Holger R. Maier, Graeme C. Dandy, U. Joshi, Lindell Ormsbee, Bithin Datta, Raj Mohan Singh, Rajib Kumar Bhattacharjya and Sumant Kumar. Their work appears in journals such as Journal of Hydrology, Journal of Hydrologic Engineering, Journal of Hydroinformatics, Applied Soft Computing and Hydrological Sciences Journal.

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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