Cheng Gao

640 total citations
29 papers, 397 citations indexed

About

Cheng Gao is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology and Obstetrics and Gynecology. According to data from OpenAlex, Cheng Gao has authored 29 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 6 papers in Epidemiology and 6 papers in Obstetrics and Gynecology. Recurrent topics in Cheng Gao's work include Pregnancy and preeclampsia studies (4 papers), Neonatal and fetal brain pathology (4 papers) and Machine Learning in Healthcare (4 papers). Cheng Gao is often cited by papers focused on Pregnancy and preeclampsia studies (4 papers), Neonatal and fetal brain pathology (4 papers) and Machine Learning in Healthcare (4 papers). Cheng Gao collaborates with scholars based in United States, China and United Arab Emirates. Cheng Gao's co-authors include Bradley Malin, You Chen, Chao Yan, Xinmeng Zhang, Sarah S. Osmundson, Digna R. Velez Edwards, Yansheng Wang, Gretchen Purcell Jackson, Samuel M. Galvagno and Stacy Shackelford and has published in prestigious journals such as Life Sciences, Anesthesia & Analgesia and Medicine.

In The Last Decade

Cheng Gao

28 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng Gao United States	11	63	54	48	43	41	29	397
Liebin Zhao China	14	58 0.9×	72 1.3×	18 0.4×	35 0.8×	32 0.8×	37	505
Louis Ehwerhemuepha United States	14	98 1.6×	74 1.4×	89 1.9×	67 1.6×	24 0.6×	63	713
Xuan Song China	8	47 0.7×	54 1.0×	14 0.3×	39 0.9×	9 0.2×	30	376
Jun Ji China	16	52 0.8×	122 2.3×	61 1.3×	177 4.1×	27 0.7×	41	736
Charlotte Zwager Netherlands	4	169 2.7×	243 4.5×	73 1.5×	64 1.5×	72 1.8×	7	551
Yanbo Zhang China	12	92 1.5×	85 1.6×	19 0.4×	62 1.4×	15 0.4×	52	538
Jorge A. Gálvez United States	17	60 1.0×	61 1.1×	44 0.9×	282 6.6×	17 0.4×	48	771
Jennifer L. Dickson New Zealand	12	31 0.5×	119 2.2×	43 0.9×	100 2.3×	7 0.2×	37	554
Davood Shafie Iran	13	27 0.4×	92 1.7×	11 0.2×	67 1.6×	13 0.3×	66	592
Bharat Narasimhan United States	14	94 1.5×	81 1.5×	12 0.3×	92 2.1×	7 0.2×	67	797

Countries citing papers authored by Cheng Gao

Since Specialization

Citations

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

Fields of papers citing papers by Cheng Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Gao. A scholar is included among the top collaborators of Cheng Gao 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 Cheng Gao. Cheng Gao 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

Liu, Hu, et al.. (2022). Preoperative Status of Gut Microbiota Predicts Postoperative Delirium in Patients With Gastric Cancer. Frontiers in Psychiatry. 13. 852269–852269. 20 indexed citations

Li, Yongfeng, et al.. (2022). Pd/δ-MnO2 nanoflower arrays cordierite monolithic catalyst toward toluene and o-xylene combustion. Frontiers in Chemistry. 10. 978428–978428. 3 indexed citations

Yu, Yangyang, et al.. (2022). An adult case of small bowel intussusception caused by hemangioma presenting with intestinal obstruction: A case report. Medicine. 101(51). e32268–e32268. 1 indexed citations

Gao, Cheng, Sarah S. Osmundson, Bradley Malin, & You Chen. (2022). Telehealth Use in the COVID-19 Pandemic: A Retrospective Study of Prenatal Care. Studies in health technology and informatics. 290. 503–507. 5 indexed citations

Yan, Chao, Cheng Gao, Erin M. Wilfong, et al.. (2021). Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study. JMIR Human Factors. 8(1). e25724–e25724. 16 indexed citations

Jeong, Eugene, Sarah S. Osmundson, Cheng Gao, et al.. (2021). Learning the impact of acute and chronic diseases on forecasting neonatal encephalopathy. Computer Methods and Programs in Biomedicine. 211. 106397–106397. 3 indexed citations

Yan, Chao, Cheng Gao, Wencong Chen, et al.. (2021). Predicting brain function status changes in critically ill patients via Machine learning. Journal of the American Medical Informatics Association. 28(11). 2412–2422. 5 indexed citations

Wang, Haochen, Jie Chen, Cheng Gao, et al.. (2020). TMT-based proteomics analysis to screen potential biomarkers of acute-phase TBI in rats. Life Sciences. 264. 118631–118631. 17 indexed citations

Zhang, Xinmeng, Chao Yan, Cheng Gao, Bradley Malin, & You Chen. (2020). Predicting Missing Values in Medical Data Via XGBoost Regression. PubMed. 4(4). 383–394. 102 indexed citations

10.

Chen, Bob, Cheng Gao, Laurie L. Novak, et al.. (2020). Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning. Journal of the American Medical Informatics Association. 28(6). 1168–1177. 22 indexed citations

11.

Gao, Cheng, Sarah S. Osmundson, Xiaowei Yan, et al.. (2019). Learning to Identify Severe Maternal Morbidity from Electronic Health Records. Studies in health technology and informatics. 264. 143–147. 13 indexed citations

12.

Gao, Cheng, Sarah S. Osmundson, Xiaowei Yan, et al.. (2019). Leveraging Electronic Health Records to Learn Progression Path for Severe Maternal Morbidity. Studies in health technology and informatics. 264. 148–152. 2 indexed citations

13.

Gao, Cheng, Sarah S. Osmundson, Digna R. Velez Edwards, et al.. (2019). Deep learning predicts extreme preterm birth from electronic health records. Journal of Biomedical Informatics. 100. 103334–103334. 60 indexed citations

14.

Gao, Cheng, Abel Kho, Sarah S. Osmundson, Bradley Malin, & You Chen. (2019). Obstetric Patients with Repetitious Hospital Location Transfers Have Prolonged Stays. PubMed. 2019. 1–8. 1 indexed citations

15.

Gao, Cheng, et al.. (2019). Achieving High‐Temperature Stability of Metastable α‐MoC_1‐x by Suppressing Phase Transformation with Mounted Atoms for Lithium Storage Performance. Chemistry - An Asian Journal. 14(11). 1977–1984. 7 indexed citations

16.

Gao, Cheng, Chao Yan, Sarah S. Osmundson, Bradley Malin, & You Chen. (2019). A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records. 1–7. 4 indexed citations

17.

Li, Thomas, Cheng Gao, Chao Yan, et al.. (2018). Predicting Neonatal Encephalopathy From Maternal Data in Electronic Medical Records.. PubMed. 2017. 359–368. 3 indexed citations

18.

Yang, Shiming, Peter Hu, Cheng Gao, et al.. (2015). Trends of Hemoglobin Oximetry. Anesthesia & Analgesia. 122(1). 115–125. 10 indexed citations

19.

Mackenzie, Colin F., Cheng Gao, Peter Hu, et al.. (2014). Comparison of Decision-Assist and Clinical Judgment of Experts for Prediction of Lifesaving Interventions. Shock. 43(3). 238–243. 15 indexed citations

20.

Gao, Cheng. (1996). Accuracy of the general peaceman and Rachford alternating direction implicit method. International Communications in Heat and Mass Transfer. 23(8). 1193–1199. 2 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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