Jingjing Wu

627 total citations
50 papers, 436 citations indexed

About

Jingjing Wu is a scholar working on Statistics and Probability, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jingjing Wu has authored 50 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Jingjing Wu's work include Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (20 papers) and Statistical Methods and Bayesian Inference (10 papers). Jingjing Wu is often cited by papers focused on Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (20 papers) and Statistical Methods and Bayesian Inference (10 papers). Jingjing Wu collaborates with scholars based in Canada, United States and China. Jingjing Wu's co-authors include Rohana J. Karunamuni, C.S. Chen, Kevin Tomsovic, C.-S. Chen, Yun Ke, Qing Li, Quan Long, Devin Kwok, Mingyu Kang and Chen Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Power Systems.

In The Last Decade

Jingjing Wu

44 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingjing Wu Canada	13	164	138	116	111	47	50	436
Raffaele Argiento Italy	12	34 0.2×	106 0.8×	21 0.2×	161 1.5×	62 1.3×	36	354
Kani Chen Hong Kong	13	14 0.1×	460 3.3×	49 0.4×	111 1.0×	26 0.6×	37	605
Gaorong Li China	20	17 0.1×	1.0k 7.6×	160 1.4×	236 2.1×	59 1.3×	84	1.2k
Carlos N. Bouza Cuba	9	24 0.1×	210 1.5×	21 0.2×	49 0.4×	8 0.2×	51	366
Xingye Qiao United States	9	21 0.1×	67 0.5×	14 0.1×	120 1.1×	76 1.6×	33	340
Lu Lin China	13	15 0.1×	412 3.0×	67 0.6×	89 0.8×	15 0.3×	55	505
Peter Purdue United States	12	9 0.1×	101 0.7×	20 0.2×	16 0.1×	19 0.4×	34	411
Yan‐Xia Lin Australia	11	18 0.1×	60 0.4×	22 0.2×	82 0.7×	78 1.7×	71	450
Wendy L. Poston United States	9	9 0.1×	124 0.9×	8 0.1×	137 1.2×	21 0.4×	17	344
Florian Simatos France	11	40 0.2×	33 0.2×	4 0.0×	14 0.1×	11 0.2×	39	258

Countries citing papers authored by Jingjing Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jingjing Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Wu

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

All Works

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20 of 20 papers shown

Li, Qing, Zilong Zhang, Albert Leung, et al.. (2025). Autoencoder-Transformed Transcriptome Improves Genotype-Phenotype Association Studies. PubMed. 22(4). 1703–1715.

Wu, Jingjing, Yaling Li, Hua‐Yang Guo, et al.. (2025). Molecular characterization of HSP70, HSP90a, expression responses and biochemical changes in yellowfin seabream Acanthopagrus latus (Houttuyn 1782) under temperature stress. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 279. 111118–111118.

Karunamuni, Rohana J., et al.. (2024). Minimum profile Hellinger distance estimation of general covariate models. Computational Statistics & Data Analysis. 202. 108054–108054.

Wu, Jingjing, Katherine B. Ensor, Loren Hopkins, & Lauren B. Stadler. (2024). Assessment and application of GeneXpert rapid testing for respiratory viruses in school wastewater. Environmental Science Water Research & Technology. 11(1). 64–76.

Ensor, Katherine B., et al.. (2024). Online trend estimation and detection of trend deviations in sub-sewershed time series of SARS-CoV-2 RNA measured in wastewater. Scientific Reports. 14(1). 5575–5575. 2 indexed citations

Ding, Tao, et al.. (2023). A Multi-UAV Indoor Air Real-Time Detection and Gas Source Localization Method Based on Improved Teaching–Learning-Based Optimization. Atmospheric Environment. 318. 120200–120200. 8 indexed citations

Wu, Jingjing & Tasnima Abedin. (2021). A two-component nonparametric mixture model with stochastic dominance. Journal of the Korean Statistical Society. 50(4). 1029–1057. 2 indexed citations

Cao, Chen, et al.. (2021). Power analysis of transcriptome-wide association study: Implications for practical protocol choice. PLoS Genetics. 17(2). e1009405–e1009405. 39 indexed citations

Zhao, Qiang, Rohana J. Karunamuni, & Jingjing Wu. (2020). An empirical classification procedure for nonparametric mixture models. Journal of the Korean Statistical Society. 49(3). 924–952. 2 indexed citations

10.

Cong, Wei, Nian‐Zhang Zhang, Rui-Si Hu, et al.. (2019). Prevalence, risk factors and genotype distribution of Toxoplasma gondii DNA in soil in China. Ecotoxicology and Environmental Safety. 189. 109999–109999. 22 indexed citations

11.

Wu, Jingjing. (2017). Feature Selection for Cancer Classification Using Microarray Gene Expression Data. 1(2). 15 indexed citations

12.

Wu, Jingjing, et al.. (2017). Maximum L<sub><i>q</i></sub>-likelihood Estimation for Gamma Distributions. 1 indexed citations

13.

Yao, Weixin, et al.. (2014). Minimum profile Hellinger distance estimation for a semiparametric mixture model. Canadian Journal of Statistics. 42(2). 246–267. 11 indexed citations

14.

Wu, Jingjing & Rohana J. Karunamuni. (2012). Efficient Hellinger distance estimates for semiparametric models. Journal of Multivariate Analysis. 107. 1–23. 19 indexed citations

15.

Wu, Jingjing, Rohana J. Karunamuni, & Biao Zhang. (2010). Minimum Hellinger distance estimation in a two-sample semiparametric model. Journal of Multivariate Analysis. 101(5). 1102–1122. 16 indexed citations

16.

Karunamuni, Rohana J., et al.. (2009). Robust empirical Bayes tests for continuous distributions. Journal of Statistical Planning and Inference. 140(1). 268–282. 4 indexed citations

17.

Wu, Jingjing & Rohana J. Karunamuni. (2009). On minimum Hellinger distance estimation. Canadian Journal of Statistics. 37(4). 514–533. 19 indexed citations

18.

Wu, Jingjing, et al.. (2004). A colored Petri-Net model for load-transfer in MRT power systems. 4. 378–383. 1 indexed citations

19.

Wu, Jingjing, Kevin Tomsovic, & C.S. Chen. (1991). A heuristic search approach to feeder switching operations for overload, faults, unbalanced flow and maintenance. IEEE Transactions on Power Delivery. 6(4). 1579–1586. 85 indexed citations

20.

Chen, C.S., et al.. (1989). Harmonic analysis of distribution systems. Electric Power Systems Research. 17(3). 171–177. 5 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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