Ashu Jain

3.8k total citations · 1 hit paper
53 papers, 3.0k citations indexed

About

Ashu Jain is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Ashu Jain has authored 53 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Environmental Engineering, 26 papers in Water Science and Technology and 17 papers in Global and Planetary Change. Recurrent topics in Ashu Jain's work include Hydrological Forecasting Using AI (34 papers), Hydrology and Watershed Management Studies (26 papers) and Flood Risk Assessment and Management (12 papers). Ashu Jain is often cited by papers focused on Hydrological Forecasting Using AI (34 papers), Hydrology and Watershed Management Studies (26 papers) and Flood Risk Assessment and Management (12 papers). Ashu Jain collaborates with scholars based in India, United States and Australia. Ashu Jain's 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 and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

In The Last Decade

Ashu Jain

51 papers receiving 2.8k citations

Hit Papers

Methods used for the development of neural networks for t... 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 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 Ashu Jain et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashu Jain India 21 2.0k 1.6k 1.0k 472 465 53 3.0k
Haitham Abdulmohsin Afan Malaysia 32 2.1k 1.1× 1.9k 1.2× 869 0.8× 383 0.8× 416 0.9× 71 3.5k
Mohammad Ehteram Iran 34 1.7k 0.9× 1.7k 1.1× 803 0.8× 533 1.1× 514 1.1× 111 3.5k
Sungwon Kim South Korea 34 2.0k 1.0× 1.3k 0.8× 1.2k 1.1× 399 0.8× 622 1.3× 121 3.4k
Shie‐Yui Liong Singapore 31 1.7k 0.8× 1.4k 0.9× 1.5k 1.4× 288 0.6× 327 0.7× 77 3.3k
Mohammad Ali Ghorbani Iran 35 1.8k 0.9× 1.0k 0.7× 1.0k 1.0× 384 0.8× 448 1.0× 85 3.0k
Salim Heddam Algeria 39 2.5k 1.3× 2.1k 1.3× 1.1k 1.1× 410 0.9× 534 1.1× 175 4.4k
Sinan Q. Salih Vietnam 36 1.2k 0.6× 931 0.6× 737 0.7× 452 1.0× 510 1.1× 79 3.2k
Rana Muhammad Adnan China 30 1.6k 0.8× 1.3k 0.8× 1.1k 1.1× 176 0.4× 491 1.1× 71 2.7k
Li‐Chiu Chang Taiwan 40 2.4k 1.2× 1.9k 1.2× 1.6k 1.6× 680 1.4× 525 1.1× 90 4.6k
Ali Danandeh Mehr Türkiye 33 1.8k 0.9× 1.4k 0.9× 1.6k 1.6× 240 0.5× 416 0.9× 115 3.3k

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-authorship network of co-authors of Ashu Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Ashu Jain. A scholar is included among the top collaborators of Ashu Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashu Jain. Ashu Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jain, Ashu. (2024). Studying the Analysis of Cryptocurrency and its Market Dominance. SSRN Electronic Journal. 2 indexed citations
2.
Jain, Ashu, et al.. (2023). Development of simple semi-distributed approaches for modelling complex rainfall–runoff process. Hydrological Sciences Journal. 68(7). 998–1015. 7 indexed citations
3.
Jain, Ashu, et al.. (2023). Does ANN really acquire the physics of the system? A study using conceptual components from an established water balance model. Journal of Hydroinformatics. 25(4). 1380–1395. 4 indexed citations
4.
Pandey, Amit, et al.. (2022). Generative Adversarial Network and Bayesian Optimization in Multi-class Support Vector Machine for Intrusion Detection System. International journal of intelligent engineering and systems. 16(1). 110–119. 5 indexed citations
5.
Jain, Ashu, et al.. (2021). Bitcoin Financial Forecasting. IOP Conference Series Materials Science and Engineering. 1049(1). 12003–12003. 1 indexed citations
6.
Jain, Ashu, et al.. (2020). Modeling rainfall-runoff process using artificial neural network with emphasis on parameter sensitivity. Modeling Earth Systems and Environment. 6(4). 2177–2188. 40 indexed citations
7.
Jain, Ashu, et al.. (2019). Technological Advancement-Based Paradigm Shift: A Focus Shift from Large Screen to Small Screen. International Journal of Innovative Technology and Exploring Engineering. 8(10). 48–53. 5 indexed citations
8.
Roy, Tirthankar, et al.. (2016). Optimal groundwater management using state-space surrogate models: a case study for an arid coastal region. Journal of Hydroinformatics. 18(4). 666–686. 12 indexed citations
9.
Chakravarty, Rupak & Ashu Jain. (2015). Use of internet by the faculty members & students: A case study of Swami Devi Dyal Institute of Engineering. Zenodo (CERN European Organization for Nuclear Research). 5(1). 21–26. 1 indexed citations
10.
Jain, Ashu, et al.. (2012). EtranS-English to Sanskrit Machine Translation. 2 indexed citations
11.
Srinivasulu, S. & Ashu Jain. (2008). River Flow Prediction Using an Integrated Approach. Journal of Hydrologic Engineering. 14(1). 75–83. 35 indexed citations
12.
Shankar, Ravi, Hari Kalva, Ankur Agarwal, & Ashu Jain. (2007). Annotation Methods and Application Abstractions. 4. 1–4. 5 indexed citations
13.
Jain, Ashu, et al.. (2006). Hybrid neural network models for hydrologic time series forecasting. Applied Soft Computing. 7(2). 585–592. 360 indexed citations
14.
15.
Jain, Ashu & S. Srinivasulu. (2005). Integrated approach to model decomposed flow hydrograph using artificial neural network and conceptual techniques. Journal of Hydrology. 317(3-4). 291–306. 109 indexed citations
16.
Srinivasulu, S. & Ashu Jain. (2005). A comparative analysis of training methods for artificial neural network rainfall–runoff models. Applied Soft Computing. 6(3). 295–306. 258 indexed citations
17.
18.
Jain, Ashu, Rajib Kumar Bhattacharjya, & S. Srinivasulu. (2004). Optimal Design of Composite Channels Using Genetic Algorithm. Journal of Irrigation and Drainage Engineering. 130(4). 286–295. 72 indexed citations
19.
Srinivasulu, S. & Ashu Jain. (2003). Comparative Analysis of Back-Propagation and Real-Coded GA for Training of ANN Rainfall-Runoff Models.. Indian International Conference on Artificial Intelligence. 122–135. 1 indexed citations
20.
Jain, Ashu, et al.. (2002). Simulation and Optimization for Management of Water Resources in a Canal Command Area. 2002 Chicago, IL July 28-31, 2002. 1 indexed citations

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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