Chonghua Xue

1.0k total citations
5 papers, 162 citations indexed

About

Chonghua Xue is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Chonghua Xue has authored 5 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Physiology. Recurrent topics in Chonghua Xue's work include Glycosylation and Glycoproteins Research (1 paper), Image and Signal Denoising Methods (1 paper) and Emotion and Mood Recognition (1 paper). Chonghua Xue is often cited by papers focused on Glycosylation and Glycoproteins Research (1 paper), Image and Signal Denoising Methods (1 paper) and Emotion and Mood Recognition (1 paper). Chonghua Xue collaborates with scholars based in United States and Australia. Chonghua Xue's co-authors include Vijaya B. Kolachalama, Rhoda Au, Ioannis Ch. Paschalidis, Cody Karjadi, Sang Chin, Asim Mian, Xiao Zhou, Prajakta Joshi, J. Diana Zhang and William A. Donald and has published in prestigious journals such as ACS Central Science, Protein Engineering Design and Selection and Alzheimer s Research & Therapy.

In The Last Decade

Chonghua Xue

5 papers receiving 153 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chonghua Xue United States	4	47	44	42	37	25	5	162
Fabian Eitel Germany	5	114 2.4×	50 1.1×	18 0.4×	37 1.0×	33 1.3×	9	231
Moritz Böhle Germany	4	133 2.8×	40 0.9×	15 0.4×	29 0.8×	22 0.9×	8	220
Zhijian Yang United States	6	27 0.6×	30 0.7×	30 0.7×	12 0.3×	10 0.4×	9	156
Benedikt A. Jónsson Iceland	4	63 1.3×	93 2.1×	26 0.6×	35 0.9×	48 1.9×	7	272
Nuwan Madusanka South Korea	9	94 2.0×	66 1.5×	15 0.4×	106 2.9×	52 2.1×	28	246
Jérémy Guillon France	6	45 1.0×	54 1.2×	25 0.6×	68 1.8×	69 2.8×	12	255
Sarah Keefe United States	6	19 0.4×	45 1.0×	24 0.6×	27 0.7×	44 1.8×	24	171
Nicola K. Dinsdale United Kingdom	7	84 1.8×	106 2.4×	13 0.3×	39 1.1×	25 1.0×	16	270
Ali‐Reza Mohammadi‐Nejad United States	7	14 0.3×	59 1.3×	21 0.5×	12 0.3×	16 0.6×	16	180
Ioanna Skampardoni United States	6	21 0.4×	16 0.4×	26 0.6×	9 0.2×	10 0.4×	7	126

Countries citing papers authored by Chonghua Xue

Since Specialization

Citations

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

Fields of papers citing papers by Chonghua Xue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chonghua Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Chonghua Xue. A scholar is included among the top collaborators of Chonghua Xue 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 Chonghua Xue. Chonghua Xue 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:

5 of 5 papers shown

1.

Xue, Chonghua, et al.. (2025). AI-augmented frameworks for enhancing Alzheimer’s disease clinical trials: A memory clinic perspective. The Journal of Prevention of Alzheimer s Disease. 13(1). 100396–100396. 1 indexed citations

2.

Zhang, J. Diana, Chonghua Xue, Vijaya B. Kolachalama, & William A. Donald. (2023). Interpretable Machine Learning on Metabolomics Data Reveals Biomarkers for Parkinson’s Disease. ACS Central Science. 9(5). 1035–1045. 24 indexed citations

3.

Xue, Chonghua, Cody Karjadi, Ioannis Ch. Paschalidis, Rhoda Au, & Vijaya B. Kolachalama. (2021). Detection of dementia on voice recordings using deep learning: a Framingham Heart Study. Alzheimer s Research & Therapy. 13(1). 146–146. 52 indexed citations

4.

Zhou, Xiao, Shangran Qiu, Prajakta Joshi, et al.. (2021). Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning. Alzheimer s Research & Therapy. 13(1). 60–60. 56 indexed citations

5.

Wollacott, Andrew M., Chonghua Xue, Qiuyuan Qin, et al.. (2019). Quantifying the nativeness of antibody sequences using long short-term memory networks. Protein Engineering Design and Selection. 32(7). 347–354. 29 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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