Kinjal Chaudhari

1.1k total citations
15 papers, 720 citations indexed

About

Kinjal Chaudhari is a scholar working on Management Science and Operations Research, Artificial Intelligence and Finance. According to data from OpenAlex, Kinjal Chaudhari has authored 15 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 6 papers in Artificial Intelligence and 4 papers in Finance. Recurrent topics in Kinjal Chaudhari's work include Stock Market Forecasting Methods (9 papers), Financial Markets and Investment Strategies (4 papers) and Energy Load and Power Forecasting (3 papers). Kinjal Chaudhari is often cited by papers focused on Stock Market Forecasting Methods (9 papers), Financial Markets and Investment Strategies (4 papers) and Energy Load and Power Forecasting (3 papers). Kinjal Chaudhari collaborates with scholars based in India and United States. Kinjal Chaudhari's co-authors include Ankit Thakkar, Anjali Agrawal, H. Koo, Angad Singh and Gong Yong Jin and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Information Fusion.

In The Last Decade

Kinjal Chaudhari

15 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kinjal Chaudhari India	11	422	194	182	143	142	15	720
Chen-Hao Liu Taiwan	9	519 1.2×	351 1.8×	164 0.9×	91 0.6×	169 1.2×	16	913
Khaled H. Alyoubi Saudi Arabia	13	201 0.5×	186 1.0×	110 0.6×	59 0.4×	70 0.5×	38	577
M. Omair Shafiq Canada	12	182 0.4×	194 1.0×	101 0.6×	47 0.3×	43 0.3×	43	559
Chien‐Feng Huang Taiwan	10	204 0.5×	108 0.6×	78 0.4×	111 0.8×	95 0.7×	52	448
Priyank Thakkar India	8	939 2.2×	189 1.0×	383 2.1×	310 2.2×	399 2.8×	29	1.2k
Fangzhou Yang China	9	161 0.4×	280 1.4×	155 0.9×	38 0.3×	54 0.4×	20	548
Zhensong Chen China	12	311 0.7×	187 1.0×	175 1.0×	111 0.8×	136 1.0×	21	580
Amin Karami United Kingdom	12	184 0.4×	281 1.4×	110 0.6×	44 0.3×	67 0.5×	26	753
C. K. Jha India	9	200 0.5×	166 0.9×	130 0.7×	22 0.2×	50 0.4×	49	529
Sven Seuken Switzerland	13	248 0.6×	244 1.3×	55 0.3×	48 0.3×	101 0.7×	51	595

Countries citing papers authored by Kinjal Chaudhari

Since Specialization

Citations

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

Fields of papers citing papers by Kinjal Chaudhari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinjal Chaudhari

This figure shows the co-authorship network connecting the top 25 collaborators of Kinjal Chaudhari. A scholar is included among the top collaborators of Kinjal Chaudhari 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 Kinjal Chaudhari. Kinjal Chaudhari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Thakkar, Ankit & Kinjal Chaudhari. (2024). Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade. Computer Science Review. 53. 100652–100652. 5 indexed citations

Chaudhari, Kinjal & Ankit Thakkar. (2023). Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction. Expert Systems with Applications. 219. 119527–119527. 52 indexed citations

Jin, Gong Yong, et al.. (2023). GLEAM: GAN and LLM for Evasive Adversarial Malware. 53–58. 7 indexed citations

Chaudhari, Kinjal & Ankit Thakkar. (2023). Data fusion with factored quantization for stock trend prediction using neural networks. Information Processing & Management. 60(3). 103293–103293. 15 indexed citations

Thakkar, Ankit & Kinjal Chaudhari. (2022). Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction. Applied Soft Computing. 128. 109428–109428. 31 indexed citations

Thakkar, Ankit, et al.. (2022). Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network. IEEE Transactions on Affective Computing. 13(4). 1771–1782. 17 indexed citations

Thakkar, Ankit & Kinjal Chaudhari. (2021). A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions. Expert Systems with Applications. 177. 114800–114800. 141 indexed citations

Thakkar, Ankit & Kinjal Chaudhari. (2020). CREST: Cross-Reference to Exchange-based Stock Trend Prediction using Long Short-Term Memory. Procedia Computer Science. 167. 616–625. 42 indexed citations

Thakkar, Ankit & Kinjal Chaudhari. (2020). Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions. Information Fusion. 65. 95–107. 148 indexed citations

10.

Thakkar, Ankit & Kinjal Chaudhari. (2020). A Comprehensive Survey on Portfolio Optimization, Stock Price and Trend Prediction Using Particle Swarm Optimization. Archives of Computational Methods in Engineering. 28(4). 2133–2164. 77 indexed citations

11.

Chaudhari, Kinjal, et al.. (2020). KBC: Multiple Key Generation using Key Block Chaining. Procedia Computer Science. 167. 1960–1969. 8 indexed citations

12.

Thakkar, Ankit & Kinjal Chaudhari. (2020). Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks. Applied Soft Computing. 96. 106684–106684. 59 indexed citations

13.

Thakkar, Ankit, et al.. (2020). A Comprehensive Survey on Energy-Efficient Power Management Techniques. Procedia Computer Science. 167. 1189–1199. 10 indexed citations

14.

Chaudhari, Kinjal & Ankit Thakkar. (2019). A Comprehensive Survey on Travel Recommender Systems. Archives of Computational Methods in Engineering. 27(5). 1545–1571. 59 indexed citations

15.

Chaudhari, Kinjal & Ankit Thakkar. (2019). Survey on handwriting-based personality trait identification. Expert Systems with Applications. 124. 282–308. 49 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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