Jie Ding

1.8k total citations
64 papers, 869 citations indexed

About

Jie Ding is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Jie Ding has authored 64 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 10 papers in Signal Processing. Recurrent topics in Jie Ding's work include Statistical Methods and Inference (10 papers), Privacy-Preserving Technologies in Data (9 papers) and Advanced Statistical Methods and Models (6 papers). Jie Ding is often cited by papers focused on Statistical Methods and Inference (10 papers), Privacy-Preserving Technologies in Data (9 papers) and Advanced Statistical Methods and Models (6 papers). Jie Ding collaborates with scholars based in United States, China and Netherlands. Jie Ding's co-authors include Vahid Tarokh, Yuhong Yang, Richard B. Fair, Krishnendu Chakrabarty, Giovanni Parmigiani, Jiawei Zhang, Enmao Diao, Jianyou Wang, Michael F. Ochs and Elana J. Fertig and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Jie Ding

58 papers receiving 831 citations

Peers

Jie Ding

AI

MB

EEE

SP

BE

Rocío Aláiz-Rodríguez Spain

Samaneh Aminikhanghahi United States

Saad Sadiq United States

Ioannis D. Zaharakis Greece

Yubin Yubin China

Mohak Shah Canada

Dost Muhammad Khan Pakistan

Thomas Burr United States

Randal S. Olson United States

Jayanta Kumar Das India

Rocío Aláiz-Rodríguez Spain

Jie Ding

638 ×2.6

AI

84 ×0.5

MB

178 ×1.3

EEE

110 ×1.1

SP

118 ×1.4

BE

Citations per year, relative to Jie Ding Jie Ding (= 1×) peers Rocío Aláiz-Rodríguez

Countries citing papers authored by Jie Ding

Since Specialization

Citations

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

Fields of papers citing papers by Jie Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Ding

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Jie, Huanxi Liu, Dawei Feng, Jie Ding, & Bo Ding. (2024). FP4-Quantization: Lossless 4bit Quantization for Large Language Models. 61–67.

2.

Ma, Shuai, et al.. (2024). Combining KNN with AutoEncoder for Outlier Detection. Journal of Computer Science and Technology. 39(5). 1153–1166.

3.

Tang, Xin, Jiawei Zhang, Yichun He, et al.. (2023). Explainable multi-task learning for multi-modality biological data analysis. Nature Communications. 14(1). 2546–2546. 53 indexed citations

4.

Li, Gen, et al.. (2023). Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization. IEEE Transactions on Information Theory. 69(9). 5921–5935.

5.

Zhou, Yi, et al.. (2023). Exploring Gradient Oscillation in Deep Neural Network Training. 1–7.

6.

Ding, Jie, et al.. (2023). Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. 4. 1–5. 1 indexed citations

7.

Ding, Jie, et al.. (2023). Measurement of spillover effect between green bond market and traditional bond market in China. SHILAP Revista de lepidopterología. 5(4). 538–561. 5 indexed citations

8.

Ding, Jie, et al.. (2022). What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. 33. 1740–1747.

9.

Ding, Jie, Eric W. Tramel, Anit Kumar Sahu, et al.. (2022). Federated Learning Challenges and Opportunities: An Outlook. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8752–8756. 39 indexed citations

10.

Ding, Jie, Rui Yan, Qianlei Yang, et al.. (2021). Using Alizarin Red Staining to Detect Chemically Induced Bone Loss in Zebrafish Larvae. Journal of Visualized Experiments. 7 indexed citations

11.

Zhang, Jiawei, Jie Ding, & Yuhong Yang. (2021). Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning. Journal of the American Statistical Association. 118(542). 1115–1125. 6 indexed citations

12.

Wang, Jianyou, et al.. (2020). Speech Emotion Recognition with Dual-Sequence LSTM Architecture. arXiv (Cornell University). 6474–6478. 89 indexed citations

13.

Jacob, Pierre, et al.. (2020). Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency. Figshare. 13 indexed citations

14.

Ding, Jie, et al.. (2020). Forecasting with Multiple Seasonality. 240–245. 4 indexed citations

15.

Zhang, Dacheng, et al.. (2020). The classification of plants by laser-induced breakdown spectroscopy based on two chemometric methods. Plasma Science and Technology. 22(7). 74012–74012. 5 indexed citations

16.

Ding, Jie. (2015). An Evaluation of Some Robust Estimators of Regression Coefficients. oURspace (University of Regina). 1 indexed citations

17.

Li, Zhijia, et al.. (2012). Study on distributed hydrological model of solving physical equation on grids. Journal of Hydroelectric Engineering. 31(2). 5–13. 3 indexed citations

18.

Wang, Victoria, Natalie J. Blades, Jie Ding, Răzvan Sultana, & Giovanni Parmigiani. (2012). Estimation of sequencing error rates in short reads. BMC Bioinformatics. 13(1). 185–185. 52 indexed citations

19.

Ding, Jie, Krishnendu Chakrabarty, & Richard B. Fair. (2005). Reconfigurable Microfluidic System Architecture Based on Two-Dimensional Electrowetting Arrays. Defense Technical Information Center (DTIC). 1(2001). 181–185. 1 indexed citations

20.

Wang, Shihu, et al.. (2004). [Structural characteristics of infrared spectra for polyaluminum chloride in enhanced reactions of modification].. PubMed. 24(5). 532–5. 4 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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