Xue-Bin Liang

1.1k total citations
29 papers, 739 citations indexed

About

Xue-Bin Liang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xue-Bin Liang has authored 29 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 21 papers in Artificial Intelligence and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Xue-Bin Liang's work include Neural Networks and Applications (13 papers), Neural Networks Stability and Synchronization (10 papers) and Advanced Wireless Communication Techniques (8 papers). Xue-Bin Liang is often cited by papers focused on Neural Networks and Applications (13 papers), Neural Networks Stability and Synchronization (10 papers) and Advanced Wireless Communication Techniques (8 papers). Xue-Bin Liang collaborates with scholars based in United States, China and Hong Kong. Xue-Bin Liang's co-authors include Xiang‐Gen Xia, Lide Wu, Jun Wang and Toru Yamaguchi and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications and IEEE Communications Letters.

In The Last Decade

Xue-Bin Liang

28 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xue-Bin Liang United States 13 603 582 309 63 40 29 739
R.A. Skoog United States 12 246 0.4× 344 0.6× 45 0.1× 27 0.4× 104 2.6× 36 568
Walid Hachem France 14 435 0.7× 363 0.6× 102 0.3× 12 0.2× 20 0.5× 28 642
Jorge Plata-Chaves Belgium 12 220 0.4× 148 0.3× 95 0.3× 33 0.5× 25 0.6× 25 459
M. V. Burnashev Russia 11 252 0.4× 265 0.5× 110 0.4× 10 0.2× 25 0.6× 66 397
Yin Sheng China 21 981 1.6× 503 0.9× 316 1.0× 399 6.3× 273 6.8× 44 1.2k
Hamid R. Sadjadpour United States 18 1.1k 1.9× 667 1.1× 93 0.3× 26 0.4× 9 0.2× 141 1.3k
Kaining Wang United States 10 419 0.7× 116 0.2× 247 0.8× 239 3.8× 189 4.7× 25 602
Jianying Xiao China 15 740 1.2× 327 0.6× 309 1.0× 329 5.2× 120 3.0× 29 834
Ling Mi China 8 319 0.5× 125 0.2× 73 0.2× 161 2.6× 105 2.6× 27 487
Jia‐Chin Lin Taiwan 13 333 0.6× 436 0.7× 32 0.1× 32 0.5× 21 0.5× 59 520

Countries citing papers authored by Xue-Bin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xue-Bin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue-Bin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xue-Bin Liang. A scholar is included among the top collaborators of Xue-Bin Liang 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 Xue-Bin Liang. Xue-Bin Liang 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.
Liang, Xue-Bin. (2011). A note on Fanos inequality. Civil War Book Review. 1–3. 1 indexed citations
2.
Liang, Xue-Bin. (2010). A fast algorithm for computing the capacity of discrete memoryless channels. Civil War Book Review. 1–6. 1 indexed citations
3.
4.
Liang, Xue-Bin. (2006). CTH04-5: A New Iterative Algorithm for Calculating the Capacity of Discrete Memoryless Channels. Globecom. 4. 1–5. 2 indexed citations
5.
Liang, Xue-Bin. (2005). A complex orthogonal space-time block code for 8 transmit antennas. IEEE Communications Letters. 9(2). 115–117. 7 indexed citations
6.
Liang, Xue-Bin & Xiang‐Gen Xia. (2005). Fast differential unitary space-time demodulation via square orthogonal designs. IEEE Transactions on Wireless Communications. 4(4). 1331–1336. 15 indexed citations
7.
8.
Liang, Xue-Bin. (2003). A high-rate orthogonal space-time block code. IEEE Communications Letters. 7(5). 222–223. 37 indexed citations
9.
Liang, Xue-Bin. (2003). Orthogonal designs with maximal rates. IEEE Transactions on Information Theory. 49(10). 2468–2503. 266 indexed citations
10.
Liang, Xue-Bin. (2002). On the analysis of a recurrent neural network for solving nonlinear monotone variational inequality problems. IEEE Transactions on Neural Networks. 13(2). 481–486. 3 indexed citations
11.
Liang, Xue-Bin. (2002). Effect of transmission delay on the rate of convergence of a class of nonlinear contractive dynamical systems. IEEE Transactions on Neural Networks. 13(1). 244–248. 4 indexed citations
12.
Liang, Xue-Bin, et al.. (2002). Improved upper bound on step-size parameters of discrete-time recurrent neural networks for linear inequality and equation system. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 49(5). 695–698. 17 indexed citations
13.
Liang, Xue-Bin. (2001). Qualitative analysis of a recurrent neural network for nonlinear continuously differentiable convex minimization over a nonempty closed convex subset. IEEE Transactions on Neural Networks. 12(6). 1521–1525. 3 indexed citations
14.
Liang, Xue-Bin. (2001). A recurrent neural network for nonlinear continuously differentiable optimization over a compact convex subset. IEEE Transactions on Neural Networks. 12(6). 1487–1490. 13 indexed citations
15.
Liang, Xue-Bin & Jun Wang. (2000). Absolute exponential stability of neural networks with a general class of activation functions. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 47(8). 1258–1263. 55 indexed citations
16.
Liang, Xue-Bin & Lide Wu. (1998). A simple proof of a necessary and sufficient condition for absolute stability of symmetric neural networks. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 45(9). 1010–1011. 19 indexed citations
17.
Liang, Xue-Bin & Lide Wu. (1998). A comment on "Comments on 'Necessary and sufficient condition for absolute stability of neural networks'". IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 45(5). 594–594. 3 indexed citations
18.
Liang, Xue-Bin & Toru Yamaguchi. (1997). On the Analysis of Global and Absolute Stability of Nonlinear Continuous Neural Networks. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(1). 223–229. 6 indexed citations
19.
Liang, Xue-Bin & Lide Wu. (1997). Comments on "New conditions for global stability of neural networks with application to linear and quadratic programming problems". IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 44(11). 1099–1101. 22 indexed citations
20.
Liang, Xue-Bin & Toru Yamaguchi. (1996). Necessary and Sufficient Condition for Absolute Exponential Stability of Hopfield-Type Neural Networks. IEICE Transactions on Information and Systems. 79(7). 990–993. 5 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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