Shijie Chang

937 citations
49 papers · 632 · h-index 16

Impact in

    • Additive Manufacturing and 3D Printing Technologies
    • Additive Manufacturing Materials and Processes
    • Welding Techniques and Residual Stresses
    • High Entropy Alloys Studies

Papers in

Shijie Chang

44 papers receiving 621 citations

Peers

Shijie Chang
Comparison fields: 5 of 116
  • Automotive Engineering 92
  • Mechanical Engineering 166
  • General Decision Sciences 8
  • Biomaterials 54
  • Rehabilitation 24
Replace Cheng‐Ting Shih with:
Cheng‐Ting Shih Taiwan
Chuanwei Li China
Fang Pu China
Guangying Guan United Kingdom
Timothy M. Kowalewski United States
Liting Shi China
Tony Chen United States
Ang Chen China
Animesh Tandon United States
James Davies Australia
Shijie Chang relative to Cheng‐Ting Shih Taiwan Cheng‐Ting Shih's profile →
Citations per field
00.5×2.5×
Cheng‐Ting Shih · 1×
Citations per year

Countries citing papers authored by Shijie Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shijie Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shijie Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shijie Chang Line = papers co-authored together Shijie Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202063
2 201953
3 202046
4 202044
5 201944
6 202130
7 202426
8 202222
9 202118
10 201917
11 202117
12 202417
13 202116
14 202016
15 201816
16 202215
17 201914
18 202012
19 202411
20 199211

About Shijie Chang

Shijie Chang is a scholar working on Mechanical Engineering, Molecular Biology, Computer Vision and Pattern Recognition, Automotive Engineering and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 632 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (7 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Welding Techniques and Residual Stresses (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Renal and related cancers (3 papers), Advanced Image Processing Techniques (3 papers), AI in cancer detection (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Automotive Engineering (92 citations), Mechanical Engineering (166 citations), General Decision Sciences (8 citations), Biomaterials (54 citations) and Rehabilitation (24 citations). Shijie Chang has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Xianzheng Sha, Junjie Zhu, Huazhe Yang, Haihong Zhu, Xiaoyan Zeng, Xiran Jiang, Changpeng Chen, Yahong Luo, Hailong Liao and Zhongxu Xiao. Their work appears in journals such as Medical Physics, PLoS ONE, Metals, Biomedical Signal Processing and Control and Journal of Manufacturing Processes.

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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