Qingju Wang

3.3k total citations · 1 hit paper
57 papers, 1.4k citations indexed

About

Qingju Wang is a scholar working on Artificial Intelligence, Orthopedics and Sports Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qingju Wang has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Orthopedics and Sports Medicine and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qingju Wang's work include Bone health and osteoporosis research (22 papers), Cryptographic Implementations and Security (20 papers) and Coding theory and cryptography (17 papers). Qingju Wang is often cited by papers focused on Bone health and osteoporosis research (22 papers), Cryptographic Implementations and Security (20 papers) and Coding theory and cryptography (17 papers). Qingju Wang collaborates with scholars based in China, Finland and Australia. Qingju Wang's co-authors include Markku Alén, Sulin Cheng, Jinguang Han, Elmar Tischhauser, Yu Wang, Weizhi Meng, Ego Seeman, Patrick Nicholson, Ali Ghasemzadeh and Xiaofang Wang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Qingju Wang

53 papers receiving 1.4k citations

Hit Papers

When Intrusion Detection Meets Blockchain Technology: A R... 2018 2026 2020 2023 2018 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
Qingju Wang China 20 568 264 228 226 200 57 1.4k
G. Schneider United States 22 144 0.3× 218 0.8× 118 0.5× 92 0.4× 61 0.3× 81 1.5k
Junxiong Zhu China 13 145 0.3× 200 0.8× 47 0.2× 253 1.1× 87 0.4× 24 814
Jaeyoon Chung South Korea 22 173 0.3× 48 0.2× 74 0.3× 32 0.1× 131 0.7× 86 1.3k
Yuankai Zhang China 11 35 0.1× 99 0.4× 51 0.2× 202 0.9× 46 0.2× 48 717
Sungjin Park South Korea 18 32 0.1× 81 0.3× 39 0.2× 100 0.4× 382 1.9× 56 1.3k
Christian Schaefer Germany 25 20 0.0× 104 0.4× 85 0.4× 133 0.6× 324 1.6× 120 1.9k
Junxin Zhang China 17 14 0.0× 132 0.5× 163 0.7× 542 2.4× 24 0.1× 78 1.5k
Vishal Patel United States 18 15 0.0× 245 0.9× 125 0.5× 62 0.3× 103 0.5× 94 1.3k
Renata Vieira Brazil 21 155 0.3× 177 0.7× 34 0.1× 999 4.4× 6 0.0× 165 1.7k
Michael C. Tanner Germany 18 52 0.1× 64 0.2× 54 0.2× 459 2.0× 31 0.2× 50 1.1k

Countries citing papers authored by Qingju Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingju Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingju Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingju Wang. A scholar is included among the top collaborators of Qingju Wang 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 Qingju Wang. Qingju Wang 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.
Wang, Qingju, et al.. (2024). Driving Fatigue Recognition Based on the Combination of Multimodal Features. AHFE international. 148. 1 indexed citations
2.
Guo, Chun, et al.. (2024). Superposition Attacks on Pseudorandom Schemes Based on Two or Less Permutations. IET Information Security. 2024(1). 1 indexed citations
4.
Liu, Bo, et al.. (2018). An elaborate algorithm for automatic processing of eye movement data and identifying fixations in eye-tracking experiments. Advances in Mechanical Engineering. 10(5). 12 indexed citations
5.
Li, Chaoyun & Qingju Wang. (2017). Design of Lightweight Linear Diffusion Layers from Near-MDS Matrices. SHILAP Revista de lepidopterología. 11 indexed citations
6.
Liu, Yunwen, Qingju Wang, & Vincent Rijmen. (2016). Automatic Search of Linear Trails in ARX with applications to SPECK and Chaskey. Lecture notes in computer science. 9696. 485–499. 1 indexed citations
7.
Dinur, Itai, Yunwen Liu, Willi Meier, & Qingju Wang. (2015). Optimized Interpolation Attacks on LowMC. Lecture notes in computer science. 2015. 418–560. 6 indexed citations
8.
Wang, Qingju, et al.. (2012). Improved Impossible Differential Attacks on Large-Block Rijndael. Lecture notes in computer science. 7839. 126–140. 3 indexed citations
9.
Lu, Chunyan, Kaisa K. Ivaska, Markku Alén, et al.. (2012). Serum Osteocalcin Is Not Associated with Glucose but Is Inversely Associated with Leptin across Generations of Nondiabetic Women. The Journal of Clinical Endocrinology & Metabolism. 97(11). 4106–4114. 44 indexed citations
10.
Mouha, Nicky, Qingju Wang, Dawu Gu, & Bart Preneel. (2011). Differential and Linear Cryptanalysis using Mixed-Integer Linear Programming. Lecture notes in computer science. 7537. 57–76. 5 indexed citations
11.
Xu, Leiting, Qingju Wang, Arja Lyytikäinen, et al.. (2011). Concerted actions of insulin-like growth factor 1, testosterone, and estradiol on peripubertal bone growth: A 7-year longitudinal study. Journal of Bone and Mineral Research. 26(9). 2204–2211. 36 indexed citations
12.
Wang, Qingju. (2010). Inhibition of Curcumin on up Regulation c-fos and c-jun mRNA in Kidney of Diabetic Rats.
13.
Wang, Qin, Leiting Xu, Qingju Wang, et al.. (2010). Is bone loss the reversal of bone accrual? evidence from a cross-sectional study in daughter-mother-grandmother trios. Journal of Bone and Mineral Research. 26(5). 934–940. 5 indexed citations
14.
Wang, Xiaofang, Qingju Wang, Ali Ghasemzadeh, et al.. (2009). Differences in Macro- and Microarchitecture of the Appendicular Skeleton in Young Chinese and White Women. Journal of Bone and Mineral Research. 24(12). 1946–1952. 52 indexed citations
15.
Cheng, Sulin, Leiting Xu, Patrick Nicholson, et al.. (2009). Low volumetric BMD is linked to upper-limb fracture in pubertal girls and persists into adulthood: A seven-year cohort study. Bone. 45(3). 480–486. 29 indexed citations
16.
Wang, Qingju, Sulin Cheng, Markku Alén, & Ego Seeman. (2009). Bone’s Structural Diversity in Adult Females Is Established before Puberty. The Journal of Clinical Endocrinology & Metabolism. 94(5). 1555–1561. 42 indexed citations
17.
Wang, Qingju, Patrick Nicholson, J. Timonen, et al.. (2008). Monitoring Bone Growth Using Quantitative Ultrasound in Comparison with DXA and pQCT. Journal of Clinical Densitometry. 11(2). 295–301. 26 indexed citations
18.
Wang, Qingju & Ego Seeman. (2008). Skeletal growth and peak bone strength. Best Practice & Research Clinical Endocrinology & Metabolism. 22(5). 687–700. 35 indexed citations
19.
Wang, Qingju, Markku Alén, Patrick Nicholson, et al.. (2006). Weight-bearing, muscle loading and bone mineral accrual in pubertal girls—A 2-year longitudinal study. Bone. 40(5). 1196–1202. 39 indexed citations
20.
Wang, Qingju. (2005). Bone growth in pubertal girls : cross-sectional and longitudinal investigation of the association of sex hormones, physical activity, body composition, and muscle strength with bone mass and geometry. Jyväskylä University Digital Archive (University of Jyväskylä). 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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