Charles Xie

2.3k total citations
103 papers, 1.6k citations indexed

About

Charles Xie is a scholar working on Mechanical Engineering, Education and Media Technology. According to data from OpenAlex, Charles Xie has authored 103 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanical Engineering, 22 papers in Education and 18 papers in Media Technology. Recurrent topics in Charles Xie's work include Design Education and Practice (25 papers), Experimental Learning in Engineering (15 papers) and Science Education and Pedagogy (11 papers). Charles Xie is often cited by papers focused on Design Education and Practice (25 papers), Experimental Learning in Engineering (15 papers) and Science Education and Pedagogy (11 papers). Charles Xie collaborates with scholars based in United States, China and Canada. Charles Xie's co-authors include Saeid Nourian, Guanhua Chen, Robert Tinker, Wanli Xing, Juan Zheng, Zhenghui Sha, Corey Schimpf, Jie Chao, Shan Li and Shannon Sung and has published in prestigious journals such as Science, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Charles Xie

86 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles Xie United States	24	445	334	306	243	182	103	1.6k
Dongho Kim South Korea	28	275 0.6×	162 0.5×	231 0.8×	394 1.6×	339 1.9×	231	3.3k
David M. Williamson United Kingdom	26	234 0.5×	231 0.7×	161 0.5×	120 0.5×	19 0.1×	151	2.5k
Dorothy DeWitt Malaysia	20	441 1.0×	148 0.4×	121 0.4×	78 0.3×	54 0.3×	146	1.6k
Xiaohong Liu China	22	144 0.3×	89 0.3×	397 1.3×	88 0.4×	22 0.1×	94	1.9k
Chris Quintana United States	19	972 2.2×	1.0k 3.1×	32 0.1×	349 1.4×	103 0.6×	80	2.1k
Pratim Sengupta United States	20	458 1.0×	778 2.3×	22 0.1×	800 3.3×	133 0.7×	88	1.6k
Ray-I Chang Taiwan	21	108 0.2×	105 0.3×	188 0.6×	197 0.8×	44 0.2×	160	1.5k
Chia-Yu Wang Taiwan	21	433 1.0×	258 0.8×	11 0.0×	72 0.3×	51 0.3×	59	1.1k
Zhi Hong Chen China	26	209 0.5×	308 0.9×	43 0.1×	123 0.5×	9 0.0×	148	2.3k
David C. Webb United States	22	368 0.8×	436 1.3×	83 0.3×	551 2.3×	74 0.4×	70	1.6k

Countries citing papers authored by Charles Xie

Since Specialization

Citations

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

Fields of papers citing papers by Charles Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Xie

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

Zheng, Juan, et al.. (2024). Integrating Socio-scientific Reasoning into STEM Project-based Learning. Proceedings.. 1187–1190.

Du, Hanxiang, Gaoxia Zhu, Wanli Xing, & Charles Xie. (2024). What Distinguishes Students’ Engineering Design Performance: Design Behaviors, Design Iterations, and Application of Science Concepts. Journal of Science Education and Technology. 34(2). 314–326.

Zheng, Juan, et al.. (2023). The Effects of AI Feedback on Students’ Epistemic Emotion and Performance in Engineering Design: An Exploratory Study. Proceedings.. 1885–1886.

Xing, Wanli, et al.. (2023). Teaching thermodynamics with augmented interaction and learning analytics. Computers & Education. 196. 104726–104726. 2 indexed citations

Jiang, Shiyan, et al.. (2022). Learning Analytics for Assessing Hands-on Laboratory Skills in Science Classrooms Using Bayesian Network Analysis. Research in Science Education. 53(2). 425–444. 12 indexed citations

Sung, Shannon, et al.. (2022). Panels v. Trees: Broadening the Pathways of Engineering Education Through Integration With Social Studies. Science Scope. 45(6). 24–33. 2 indexed citations

Sung, Shannon, et al.. (2021). Enhancing distance learning of science—Impacts of remote labs 2.0 on students' behavioural and cognitive engagement. Journal of Computer Assisted Learning. 37(6). 1606–1621. 21 indexed citations

Jiang, Shiyan, et al.. (2021). Augmented Reality in Science Laboratories: Investigating High School Students’ Navigation Patterns and Their Effects on Learning Performance. Journal of Educational Computing Research. 60(3). 777–803. 27 indexed citations

Zhu, Gaoxia, et al.. (2021). Reciprocal Relations Between Students’ Evaluation, Reformulation Behaviors, and Engineering Design Performance Over Time. Journal of Science Education and Technology. 30(5). 595–607. 8 indexed citations

10.

Li, Chenglu, et al.. (2021). Remote Labs 2.0 to the Rescue: Doing science in a pandemic. The Science Teacher. 88(6). 63–71. 1 indexed citations

11.

Xing, Wanli, et al.. (2020). Automatic Assessment of Students’ Engineering Design Performance Using a Bayesian Network Model. Journal of Educational Computing Research. 59(2). 230–256. 30 indexed citations

12.

Zheng, Juan, et al.. (2020). The role of self-regulated learning on science and design knowledge gains in engineering projects. Interactive Learning Environments. 31(1). 87–99. 8 indexed citations

13.

Zheng, Juan, et al.. (2019). Profiling self-regulation behaviors in STEM learning of engineering design. Computers & Education. 143. 103669–103669. 92 indexed citations

14.

Xing, Wanli, Bo Pei, Shan Li, Guanhua Chen, & Charles Xie. (2019). Using learning analytics to support students’ engineering design: the angle of prediction. Interactive Learning Environments. 31(5). 2594–2611. 16 indexed citations

15.

Chiu, Jennifer L., Jie Chao, Corey Schimpf, et al.. (2018). Using Machine Learning Techniques to Capture Engineering Design Behaviors.. ICLS. 2 indexed citations

16.

Tian, Hongwei, Gang Shi, Qin Wang, et al.. (2016). A novel cancer vaccine with the ability to simultaneously produce anti-PD-1 antibody and GM-CSF in cancer cells and enhance Th1-biased antitumor immunity. Signal Transduction and Targeted Therapy. 1(1). 16025–16025. 43 indexed citations

17.

Xie, Charles, et al.. (2014). Time series analysis method for assessing engineering design processes using a CAD tool. International journal of engineering education. 30(1). 218–230. 36 indexed citations

18.

Xie, Charles, et al.. (2014). On the instructional sensitivity of CAD logs. International journal of engineering education. 30(4). 760–778. 23 indexed citations

19.

Xie, Charles & Hee‐Sun Lee. (2012). A visual approach to nanotechnology education. International journal of engineering education. 28(5). 1006–1018. 12 indexed citations

20.

Archontis, Georgios, Kimberly A. Watson, Charles Xie, et al.. (2005). Glycogen phosphorylase inhibitors: A free energy perturbation analysis of glucopyranose spirohydantoin analogues. Proteins Structure Function and Bioinformatics. 61(4). 984–998. 21 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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