Shang Ma

478 total citations
17 papers, 334 citations indexed

About

Shang Ma is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shang Ma has authored 17 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shang Ma's work include Coding theory and cryptography (8 papers), Cryptography and Residue Arithmetic (8 papers) and Chaos-based Image/Signal Encryption (4 papers). Shang Ma is often cited by papers focused on Coding theory and cryptography (8 papers), Cryptography and Residue Arithmetic (8 papers) and Chaos-based Image/Signal Encryption (4 papers). Shang Ma collaborates with scholars based in China and United States. Shang Ma's co-authors include Guigang Zhang, Jianhao Hu, Yan Zhang, Xiang Ling, Chenhao Wang, Lin Zhang, Lin Zhang, Jian Wang, Jianfeng Liu and Yongjie Li and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Shang Ma

16 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang Ma China 7 109 102 64 63 30 17 334
Faming Gong China 11 120 1.1× 86 0.8× 47 0.7× 67 1.1× 26 0.9× 45 456
Yangguang Liu China 11 96 0.9× 220 2.2× 52 0.8× 47 0.7× 32 1.1× 52 468
Shen Li-ming China 5 78 0.7× 231 2.3× 36 0.6× 40 0.6× 48 1.6× 8 493
Shuai Lü China 10 95 0.9× 160 1.6× 28 0.4× 58 0.9× 39 1.3× 56 362
Fang Dai China 8 159 1.5× 191 1.9× 20 0.3× 35 0.6× 55 1.8× 31 376
Jaber S. Alzahrani Saudi Arabia 12 91 0.8× 163 1.6× 48 0.8× 41 0.7× 12 0.4× 67 481
Yufei Li China 10 79 0.7× 90 0.9× 49 0.8× 35 0.6× 11 0.4× 43 433
Miaomiao Zhang China 7 81 0.7× 90 0.9× 18 0.3× 30 0.5× 37 1.2× 23 329

Countries citing papers authored by Shang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shang Ma. A scholar is included among the top collaborators of Shang Ma 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 Shang Ma. Shang Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Ma, Shang, et al.. (2022). A Low Complexity and Long Period Digital Random Sequence Generator Based on Residue Number System and Permutation Polynomial. IEEE Transactions on Computers. 71(11). 3008–3017. 4 indexed citations
3.
Ma, Shang, et al.. (2021). High Precision Multiplier for RNS {2n−1,2n,2n+1}. Electronics. 10(9). 1113–1113. 4 indexed citations
4.
Ma, Shang, et al.. (2019). A Low Complexity DDS Based On Optimized CORDIC Algorithm. 1–5. 4 indexed citations
5.
Ma, Shang, et al.. (2019). Design and implementation of SVM OTPC searching based on Shared Dot Product Matrix. Integration. 71. 30–37. 3 indexed citations
6.
Ma, Shang, et al.. (2019). A New Plaintext-Related Image Encryption Scheme Based on Chaotic Sequence. IEEE Access. 7. 30344–30360. 43 indexed citations
7.
Ma, Shang, et al.. (2018). A pseudo-random sequence generation scheme based on RNS and permutation polynomials. Science China Information Sciences. 61(8). 4 indexed citations
8.
Zhang, Guigang, et al.. (2016). Deep Learning. International Journal of Semantic Computing. 10(3). 417–439. 211 indexed citations
9.
Wang, Jian, et al.. (2016). A systemic performance evaluation method for Residue Number System. 50. 321–325. 6 indexed citations
10.
Ma, Shang, Jianhao Hu, & Chenhao Wang. (2013). A Novel Modulo $2^{n}-2^{k}-1$ Adder for Residue Number System. IEEE Transactions on Circuits and Systems I Regular Papers. 60(11). 2962–2972. 15 indexed citations
11.
Hu, Jianhao, et al.. (2013). Affect analysis of FFT algorithm length on traffic self-similarity in NOC. 33. 149–152. 3 indexed citations
12.
Hu, Jianhao, et al.. (2013). A PAPR reduction scheme with residue number system for OFDM. EURASIP Journal on Wireless Communications and Networking. 2013(1). 7 indexed citations
13.
Ma, Shang. (2011). Application of Independent Component Analysis in Image Processing. Jisuanji gongcheng.
14.
Ma, Shang, et al.. (2010). A 2 n scaling scheme for signed RNS integers and its VLSI implementation. Science China Information Sciences. 53(1). 203–212. 14 indexed citations
15.
Hu, Jianhao, et al.. (2009). A New efficient RNS-to-binary conversion for the three-moduli sets. 51. 1000–1005. 1 indexed citations
16.
Ma, Shang, et al.. (2008). An Efficient RNS Scaler for Moduli Set. 2. 511–515. 3 indexed citations
17.
Ma, Shang, Jianhao Hu, Lin Zhang, & Xiang Ling. (2008). An efficient RNS parity checker for moduli set {2 n − 1, 2 n + 1, 22n + 1} and its applications. Science in China Series F Information Sciences. 51(10). 1563–1571. 11 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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