Tingting He

4.0k total citations · 1 hit paper
201 papers, 2.7k citations indexed

About

Tingting He is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Tingting He has authored 201 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 43 papers in Artificial Intelligence and 24 papers in Computational Theory and Mathematics. Recurrent topics in Tingting He's work include Bioinformatics and Genomic Networks (31 papers), Topic Modeling (23 papers) and Machine Learning in Bioinformatics (20 papers). Tingting He is often cited by papers focused on Bioinformatics and Genomic Networks (31 papers), Topic Modeling (23 papers) and Machine Learning in Bioinformatics (20 papers). Tingting He collaborates with scholars based in China, United States and Netherlands. Tingting He's co-authors include Xingpeng Jiang, Guo‐Yuan Yang, Yaohui Tang, Yaying Song, Zongwei Li, Xiaohua Hu, Yongting Wang, Zhijun Zhang, Wanlu Li and Shouping Yang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Tingting He

179 papers receiving 2.7k citations

Hit Papers

M2 microglia-derived exosomes protect the mouse brain fro... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingting He China 26 1.4k 410 354 312 286 201 2.7k
Jianhua Huang China 31 1.4k 0.9× 118 0.3× 178 0.5× 195 0.6× 328 1.1× 160 3.4k
J. Manikandan India 30 1.1k 0.8× 150 0.4× 330 0.9× 170 0.5× 234 0.8× 206 3.7k
Jianxun Liu China 32 1.4k 1.0× 507 1.2× 307 0.9× 228 0.7× 55 0.2× 188 3.4k
Sai Zhang China 35 2.0k 1.4× 124 0.3× 777 2.2× 185 0.6× 199 0.7× 231 4.7k
Kunlun He China 33 1.6k 1.1× 98 0.2× 281 0.8× 330 1.1× 351 1.2× 236 4.1k
Liang Feng China 35 1.3k 0.9× 158 0.4× 271 0.8× 216 0.7× 85 0.3× 89 3.1k
Sanghamitra Bandyopadhyay India 32 868 0.6× 271 0.7× 193 0.5× 206 0.7× 163 0.6× 83 2.9k
Yühong Huang China 27 1.2k 0.8× 83 0.2× 198 0.6× 155 0.5× 104 0.4× 155 2.7k
Ni Chen China 34 1.6k 1.1× 73 0.2× 892 2.5× 248 0.8× 520 1.8× 165 4.0k

Countries citing papers authored by Tingting He

Since Specialization
Citations

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

Fields of papers citing papers by Tingting He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting He

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting He. A scholar is included among the top collaborators of Tingting He 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 Tingting He. Tingting He 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.
Yang, Shaobing, et al.. (2025). A data-driven power consumption estimation algorithm of catenary for electrified railway. International Journal of Electrical Power & Energy Systems. 169. 110737–110737. 1 indexed citations
2.
Liu, Yihui, Rui Han, Jie Zheng, et al.. (2025). Multieffect Specific Nanovesicles for Homing Resistant Tumors and Overcoming Osimertinib‐Acquired Resistance in NSCLC. Advanced Healthcare Materials. 14(9). e2404087–e2404087. 2 indexed citations
3.
Jiang, Yijun, et al.. (2025). Hybrid imputation of missing values using KNN on MEWMA-based adaptive process control. Quality Technology & Quantitative Management. 1–21.
4.
He, Yuanrong, et al.. (2024). Small and Micro-Water Quality Monitoring Based on the Integration of a Full-Space Real 3D Model and IoT. Sensors. 24(3). 1033–1033. 3 indexed citations
5.
6.
Xiong, Yüting, Tingting He, Junjie Li, et al.. (2024). Protective effects of Nogo-B deficiency in NAFLD mice and its multiomics analysis of gut microbiology and metabolism. Genes & Nutrition. 19(1). 17–17. 1 indexed citations
7.
Li, Song, Zhaozhong Yang, Xiaogang Li, et al.. (2024). Data-driven assessment of well stimulation in unconventional gas reservoirs. Scientific Reports. 14(1). 31133–31133.
8.
Fan, Rui, et al.. (2024). Dual Causes Generation Assisted Model for Multimodal Aspect-Based Sentiment Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9298–9312. 3 indexed citations
9.
Yao, Wenjie, et al.. (2024). An Improved Framework for Drug-Side Effect Associations Prediction via Counterfactual Inference-Based Data Augmentation. IEEE Transactions on NanoBioscience. 23(4). 540–547.
10.
Liao, Xin, Tingting He, Pian Liu, et al.. (2024). Clinical Management in NSCLC Patients With EGFR Mutation After Osimertinib Progression With Unknown Resistance Mechanisms. The Clinical Respiratory Journal. 18(10). e70025–e70025. 2 indexed citations
11.
Wang, Yue, et al.. (2023). multiMiAT: an optimal microbiome-based association test for multicategory phenotypes. Briefings in Bioinformatics. 24(2). 3 indexed citations
12.
Zhao, Weizhong, et al.. (2023). An effective multi-task learning framework for drug repurposing based on graph representation learning. Methods. 218. 48–56. 2 indexed citations
13.
Zhang, Ruitao, et al.. (2023). Abnormal expressions of PURPL, miR-363-3p and ADAM10 predicted poor prognosis for patients with ovarian serous cystadenocarcinoma. Journal of Cancer. 14(15). 2908–2918. 3 indexed citations
14.
Chen, Siru, et al.. (2023). Development of a novel transcription factor signature for accurate cervical cancer prognosis. European Journal of Gynaecological Oncology. 1 indexed citations
15.
He, Tingting, Man Gong, Yuming Guo, et al.. (2022). The progression of chronicity and autoimmune hepatitis in recurrent drug-induced liver injury. Clinics and Research in Hepatology and Gastroenterology. 46(10). 102009–102009. 5 indexed citations
16.
He, Tingting, Xianlong Ding, Qiqi Zhang, et al.. (2021). Confirmation of GmPPR576 as a fertility restorer gene of cytoplasmic male sterility in soybean. Journal of Experimental Botany. 72(22). 7729–7742. 14 indexed citations
17.
He, Tingting, Xianlong Ding, Hao Zhang, et al.. (2021). Comparative analysis of mitochondrial genomes of soybean cytoplasmic male-sterile lines and their maintainer lines. Functional & Integrative Genomics. 21(1). 43–57. 16 indexed citations
18.
He, Tingting, et al.. (2008). CCNU at TAC 2008:Proceeding on Using Semantic Method for Automated Summarization Yield. Theory and applications of categories. 11 indexed citations
19.
He, Tingting, et al.. (2006). An Approach to Automatically Constructing Domain Ontology. Pacific Asia Conference on Language, Information, and Computation. 150–157. 13 indexed citations
20.
Liu, Jianzhou, Tingting He, & Xiaohua Liu. (2003). Extracting Chinese Multi-Word Units from Large-Scale Balanced Corpus. Pacific Asia Conference on Language, Information, and Computation. 282–289. 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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