Indu Saini

1.0k total citations
70 papers, 687 citations indexed

About

Indu Saini is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Indu Saini has authored 70 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 17 papers in Biomedical Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Indu Saini's work include ECG Monitoring and Analysis (25 papers), EEG and Brain-Computer Interfaces (14 papers) and Heart Rate Variability and Autonomic Control (12 papers). Indu Saini is often cited by papers focused on ECG Monitoring and Analysis (25 papers), EEG and Brain-Computer Interfaces (14 papers) and Heart Rate Variability and Autonomic Control (12 papers). Indu Saini collaborates with scholars based in India and United States. Indu Saini's co-authors include Arun Khosla, Dilbag Singh, Neetu Sood, Phool Singh, Barjinder Singh Saini, Kehar Singh, Anil Kumar Yadav, Butta Singh, Ashwani Kumar Yadav and Mamta Khosla and has published in prestigious journals such as Computers and Electronics in Agriculture, Plant Physiology and Biochemistry and Biosystems Engineering.

In The Last Decade

Indu Saini

68 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indu Saini India 13 303 200 196 154 94 70 687
Saroj Kumar Pandey India 14 361 1.2× 294 1.5× 136 0.7× 60 0.4× 147 1.6× 73 737
M. Suchetha India 16 184 0.6× 104 0.5× 251 1.3× 172 1.1× 156 1.7× 74 977
Yasin Kaya Türkiye 13 145 0.5× 145 0.7× 89 0.5× 140 0.9× 166 1.8× 31 631
Manpreet Kaur India 13 109 0.4× 112 0.6× 74 0.4× 227 1.5× 175 1.9× 48 653
Mehmet Korürek Türkiye 11 317 1.0× 252 1.3× 113 0.6× 61 0.4× 100 1.1× 31 520
Mohammad Loni Sweden 9 294 1.0× 177 0.9× 94 0.5× 101 0.7× 137 1.5× 17 532
Mehdi Chehel Amirani Iran 15 107 0.4× 102 0.5× 74 0.4× 217 1.4× 89 0.9× 83 682
S. Satheeskumaran India 8 182 0.6× 113 0.6× 114 0.6× 46 0.3× 45 0.5× 16 381
Yalan Ye China 12 169 0.6× 93 0.5× 195 1.0× 70 0.5× 171 1.8× 73 570
Felipe Alonso‐Atienza Spain 15 489 1.6× 245 1.2× 129 0.7× 41 0.3× 43 0.5× 35 708

Countries citing papers authored by Indu Saini

Since Specialization
Citations

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

Fields of papers citing papers by Indu Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indu Saini

This figure shows the co-authorship network connecting the top 25 collaborators of Indu Saini. A scholar is included among the top collaborators of Indu Saini 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 Indu Saini. Indu Saini 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.
Sood, Neetu, et al.. (2024). Sorted sample- wavelet feature clustering based on the range for classification of multiple nutrient deficiencies in tomato plants. Computers and Electronics in Agriculture. 225. 109263–109263. 2 indexed citations
2.
Okhawere, Kennedy E., Alp Tuna Beksaç, Ethan Ferguson, et al.. (2024). Comparison of outcomes between single-port and multiport retroperitoneal robotic partial nephrectomy. Urologic Oncology Seminars and Original Investigations. 43(1). 63.e1–63.e6. 6 indexed citations
3.
Saini, Indu, et al.. (2024). MULTI-LABEL CLASSIFICATION OF THORACIC DISEASES USING STRUCTURED DEEP LEARNING FRAMEWORK. Biomedical Engineering Applications Basis and Communications. 36(2). 4 indexed citations
4.
Okhawere, Kennedy E., Shirin Razdan, Indu Saini, et al.. (2024). Comparison of outcomes between single-port and multi-port robotic radical nephrectomy. Journal of Robotic Surgery. 18(1). 407–407. 3 indexed citations
5.
Razdan, Shirin, Kennedy E. Okhawere, Indu Saini, et al.. (2024). Comparison of lateral flank approach and low anterior access for single port (SP) retroperitoneal partial nephrectomy: an analysis from the single port advanced research consortium (SPARC). Journal of Robotic Surgery. 18(1). 216–216. 5 indexed citations
6.
Saini, Indu, et al.. (2023). Quality controlled 2D ECG compression using adaptive fourier decomposition. Multimedia Tools and Applications. 83(15). 43607–43634.
7.
Saini, Indu, et al.. (2023). Dual-Encoder framework for multi-abnormality classification of VinDr-CXR dataset. 207–211. 2 indexed citations
8.
Sood, Neetu, et al.. (2023). Ensemble Technique based Parkison’s Disease Detection from FOG and EEG Signals. 1–5. 2 indexed citations
9.
Saini, Indu, et al.. (2022). ANALYSIS OF CARDIOVASCULAR, CARDIORESPIRATORY, AND VASCULO-RESPIRATORY SIGNALS USING DIFFERENT MACHINE LEARNING TECHNIQUES. Biomedical Engineering Applications Basis and Communications. 35(1). 1 indexed citations
10.
Sood, Neetu, et al.. (2022). Classification of various nutrient deficiencies in tomato plants through electrophysiological signal decomposition and sample space reduction. Plant Physiology and Biochemistry. 186. 266–278. 13 indexed citations
11.
Saini, Indu, et al.. (2021). Multi-label segmentation and detection of COVID-19 abnormalities from chest radiographs using deep learning. Optik. 246. 167780–167780. 12 indexed citations
12.
Saini, Indu, et al.. (2019). A morphologically robust chaotic map based approach to embed patient’s confidential data securely in non-QRS regions of ECG signal. Australasian Physical & Engineering Sciences in Medicine. 42(1). 111–135. 5 indexed citations
13.
Saini, Indu, et al.. (2018). Alexander fractional differential window filter for ECG denoising. Australasian Physical & Engineering Sciences in Medicine. 41(2). 519–539. 15 indexed citations
14.
Saini, Indu, et al.. (2017). Effect of age and postural related changes on cardiac autonomic function in the pre-menopausal and post-menopausal women. International Journal of Medical Engineering and Informatics. 9(4). 299–299. 5 indexed citations
15.
Saini, Indu, et al.. (2017). Phase-Image Encryption Based on 3D-Lorenz Chaotic System and Double Random Phase Encoding. 3D Research. 8(4). 29 indexed citations
16.
Saini, Barjinder Singh, et al.. (2016). Design of tree structured matched wavelet for HRV signals of menstrual cycle. Journal of Medical Engineering & Technology. 40(5). 223–238. 3 indexed citations
17.
Saini, Barjinder Singh, et al.. (2015). Adaptive correlation dimension method for analysing heart rate variability during the menstrual cycle. Australasian Physical & Engineering Sciences in Medicine. 38(3). 509–523. 8 indexed citations
18.
Saini, Indu, Dilbag Singh, & Arun Khosla. (2014). K-nearest neighbour-based algorithm for P- and T-waves detection and delineation. Journal of Medical Engineering & Technology. 38(3). 115–124. 21 indexed citations
19.
Saini, Indu, et al.. (2014). Empirical Wavelet Transform Based ECG Signal Compression. IETE Journal of Research. 60(6). 423–431. 23 indexed citations
20.
Saini, Indu, Dilbag Singh, & Arun Khosla. (2012). QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases. Journal of Advanced Research. 4(4). 331–344. 249 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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