Dongdong Sun

839 total citations
16 papers, 619 citations indexed

About

Dongdong Sun is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Dongdong Sun has authored 16 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Cancer Research. Recurrent topics in Dongdong Sun's work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and AI in cancer detection (3 papers). Dongdong Sun is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and AI in cancer detection (3 papers). Dongdong Sun collaborates with scholars based in China, Germany and Macao. Dongdong Sun's co-authors include Ao Li, Minghui Wang, Liang Ding, Huanqing Feng, Shaojun Wen, Chuang Li, Ya Liu, Zuoguang Wang, Jielin Liu and Yanyu Chen and has published in prestigious journals such as Nano Letters, Scientific Reports and Neurocomputing.

In The Last Decade

Dongdong Sun

16 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dongdong Sun China	10	358	254	213	165	31	16	619
Amina Bolatkan Japan	10	138 0.4×	114 0.4×	78 0.4×	147 0.9×	45 1.5×	12	413
Jianing Xi China	15	340 0.9×	139 0.5×	141 0.7×	61 0.4×	17 0.5×	31	538
Joseph D. Janizek United States	8	453 1.3×	190 0.7×	100 0.5×	151 0.9×	33 1.1×	11	872
Abedalrhman Alkhateeb Canada	13	322 0.9×	161 0.6×	112 0.5×	94 0.6×	118 3.8×	46	669
Norio Shinkai Japan	10	124 0.3×	106 0.4×	76 0.4×	150 0.9×	46 1.5×	14	408
Meiyu Duan China	11	164 0.5×	137 0.5×	44 0.2×	144 0.9×	25 0.8×	42	482
Ramón Viñas United Kingdom	6	134 0.4×	263 1.0×	133 0.6×	187 1.1×	39 1.3×	9	523
Yuebin Liang China	11	128 0.4×	200 0.8×	128 0.6×	192 1.2×	101 3.3×	13	524
Maha Shady United States	5	97 0.3×	354 1.4×	98 0.5×	270 1.6×	36 1.2×	10	522
Mane Williams United States	5	127 0.4×	431 1.7×	114 0.5×	338 2.0×	59 1.9×	6	707

Countries citing papers authored by Dongdong Sun

Since Specialization

Citations

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

Fields of papers citing papers by Dongdong Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdong Sun

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

All Works

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16 of 16 papers shown

Sun, Dongdong, et al.. (2024). Uniformity, Linearity, and Symmetry Enhancement in TiO_x/MoS_2–xO_x Based Analog RRAM via S-Vacancy Confined Nanofilament. Nano Letters. 24(51). 16283–16292. 7 indexed citations

Zhao, Yong, et al.. (2021). A hybrid recognition model of microseismic signals for underground mining based on CNN and LSTM networks. Geomatics Natural Hazards and Risk. 12(1). 2803–2834. 22 indexed citations

Bao, Weilian, Qibiao Wu, Dongdong Sun, et al.. (2021). Oral Nanoparticles of SNX10-shRNA Plasmids Ameliorate Mouse Colitis. International Journal of Nanomedicine. Volume 16. 345–357. 20 indexed citations

Sun, Dongdong, Chuang Li, Jielin Liu, et al.. (2019). Expression Profile of microRNAs in Hypertrophic Cardiomyopathy and Effects of microRNA-20 in Inducing Cardiomyocyte Hypertrophy Through Regulating Gene MFN2. DNA and Cell Biology. 38(8). 796–807. 45 indexed citations

Sun, Dongdong, Minghui Wang, & Ao Li. (2018). A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(3). 841–850. 229 indexed citations

Sun, Dongdong, et al.. (2018). Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome. Computer Methods and Programs in Biomedicine. 161. 45–53. 94 indexed citations

Ding, Liang, Minghui Wang, Dongdong Sun, & Ao Li. (2018). TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph. Scientific Reports. 8(1). 1065–1065. 81 indexed citations

Wang, Minghui, et al.. (2017). A novel method for identifying potential disease-related miRNAs via a disease–miRNA–target heterogeneous network. Molecular BioSystems. 13(11). 2328–2337. 11 indexed citations

Sun, Dongdong, Minghui Wang, & Ao Li. (2017). MPTM: A tool for mining protein post-translational modifications from literature. Journal of Bioinformatics and Computational Biology. 15(5). 1740005–1740005. 8 indexed citations

10.

Sun, Dongdong, Minghui Wang, Huanqing Feng, & Ao Li. (2017). Prognosis prediction of human breast cancer by integrating deep neural network and support vector machine: Supervised feature extraction and classification for breast cancer prognosis prediction. 1–5. 19 indexed citations

11.

Sun, Dongdong, Ao Li, Huanqing Feng, & Minghui Wang. (2016). NTSMDA: prediction of miRNA–disease associations by integrating network topological similarity. Molecular BioSystems. 12(7). 2224–2232. 57 indexed citations

12.

Li, Ao, et al.. (2016). A text feature-based approach for literature mining of lncRNA–protein interactions. Neurocomputing. 206. 73–80. 15 indexed citations

13.

Wang, Binghua, Minghui Wang, Yujie Jiang, Dongdong Sun, & Xiaoyi Xu. (2015). A novel network-based computational method to predict protein phosphorylation on tyrosine sites. Journal of Bioinformatics and Computational Biology. 13(6). 1542005–1542005. 5 indexed citations

14.

Sun, Dongdong, et al.. (2015). Extracting LncRNA-protein Interactions from Literature Using a Text Feature-based Approach. IFAC-PapersOnLine. 48(28). 22–26. 1 indexed citations

15.

Wang, Mang, Xia Hong, Dongdong Sun, et al.. (2014). Literature mining of protein phosphorylation using dependency parse trees. Methods. 67(3). 386–393. 4 indexed citations

16.

Sun, Dongdong, et al.. (2012). Computing the topological degrees via semi-concave functionals. Topological Methods in Nonlinear Analysis. 39(1). 107–117. 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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