Peng Wang - RankMe

45 papers B 1C 2Journal 29Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improving exponential-family random graph models for bipartite networks. J. Complex Networks Alex D. Stivala, Peng Wang, Alessandro Lomi
2024	J	`jnl`	ALAAMEE: Open-source software for fitting autologistic actor attribute models. CoRR Alex D. Stivala, Peng Wang, Alessandro Lomi
2024	J	`jnl`	Exponential random graph models and pendant-triangle statistics. Soc. Networks Philippa E. Pattison, Garry L. Robins, Tom A. B. Snijders, Peng Wang
2023	J	`jnl`	Multilevel network interventions: Goals, actions, and outcomes. Soc. Networks Garry Robins, Dean Lusher, Chiara Broccatelli, David A. Bright, H. Colin Gallagher, Maedeh Aboutalebi Karkavandi, Petr Matous, James A. Coutinho, Peng Wang, Johan H. Koskinen, Bopha Roden, Giovanni Radhitio Putra Sadewo
2023	J	`jnl`	Network patterns of university-industry collaboration: A case study of the chemical sciences in Australia. Scientometrics H. Colin Gallagher, Dean Lusher, Johan H. Koskinen, Bopha Roden, Peng Wang, Aaron Gosling, Anastasios Polyzos, Martina Stenzel, Sarah Hegarty, Thomas H. Spurling, Gregory W. Simpson
2022	J	`jnl`	Perceived friendship network of socially anxious adolescent girls. Soc. Networks Maedeh Aboutalebi Karkavandi, Peng Wang, Dean Lusher, Brock Bastian, Vicki McKenzie, Garry Robins
2021	J	`jnl`	Who benefits from network intervention programs? TERGM analysis across ten Philippine low-income communities. Soc. Networks Petr Matous, Peng Wang, Lincoln Lau
2020	J	`jnl`	Using Sampled Network Data With The Autologistic Actor Attribute Model. CoRR Alex D. Stivala, H. Colin Gallagher, David A. Rolls, Peng Wang, Garry L. Robins
2019	J	`jnl`	External exposure, boundary-spanning, and opinion leadership in remote communities: A network experiment. Soc. Networks Petr Matous, Peng Wang
2016	J	`jnl`	Snowball sampling for estimating exponential random graph models for large networks. Soc. Networks Alex D. Stivala, Johan H. Koskinen, David A. Rolls, Peng Wang, Garry Robins
2016	J	`jnl`	Social selection models for multilevel networks. Soc. Networks Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega
2015	J	`jnl`	Board interlocking network and the design of executive compensation packages. Soc. Networks Ling Heng Henry Wong, André F. Gygax, Peng Wang
2013	J	`jnl`	Bayesian analysis for partially observed network data, missing ties, attributes and actors. Soc. Networks Johan H. Koskinen, Garry Robins, Peng Wang, Philippa Pattison
2013	J	`jnl`	Exponential random graph model specifications for bipartite networks - A dependence hierarchy. Soc. Networks Peng Wang, Philippa Pattison, Garry Robins
2013	J	`jnl`	Exponential random graph models for multilevel networks. Soc. Networks Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega
2013	J	`jnl`	Modelling a disease-relevant contact network of people who inject drugs. Soc. Networks David A. Rolls, Peng Wang, Rebecca Jenkinson, Philippa E. Pattison, Garry Robins, Rachel Sacks-Davis, Galina Daraganova, Margaret Hellard, Emma McBryde
2013	J	`jnl`	The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports. Netw. Sci. Kayo Fujimoto, Peng Wang, Thomas W. Valente
2012	—	`—`	Exponential random graph models for affiliation networks. Peng Wang
2012	J	`jnl`	Univariate and multivariate models of positive and negative networks: Liking, disliking, and bully-victim relationships. Soc. Networks Gijs Huitsing, Marijtje A. J. Van Duijn, Tom A. B. Snijders, Peng Wang, Miia Sainio, Christina Salmivalli, René Veenstra
2009	—	`conf`	A Novel Approach to Spatio-Temporal Video Analysis and Retrieval. MIRAGE Peng Wang, Wei Ren, Maneesha Singh
2009	J	`jnl`	Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks. Soc. Networks Garry Robins, Pip Pattison, Peng Wang
2009	J	`jnl`	Exponential random graph ( Soc. Networks Peng Wang, Ken Sharpe, Garry Robins, Philippa Pattison
2007	J	`jnl`	Live cell imaging: a computational perspective. J. Real Time Image Process. Harish Bhaskar, Peng Wang
2007	J	`jnl`	Recent developments in exponential random graph (p*) models for social networks. Soc. Networks Garry Robins, Tom A. B. Snijders, Peng Wang, Mark S. Handcock, Philippa Pattison
2006	J	`jnl`	Machine learning in bioinformatics: A brief survey and recommendations for practitioners. Comput. Biol. Medicine Harish Bhaskar, David C. Hoyle, Peng Wang
2006	—	`conf`	Multiresolution Estimates of Classification Complexity and Multiple Subspace Classifiers for Understanding and Solving Complex Recognition Tasks. SPPRA Peng Wang, Varun Kumar, Maneesha Singh
2006	J	`jnl`	Neural network analysis of MINERVA scene image benchmark. Neural Comput. Appl. Markos Markou, Maneesha Singh, Peng Wang
2006	B	`conf`	Partial Object Recognition for Improving Novelty Detection in Videos. IJCNN Maneesha Singh, Peng Wang, Markos Markou
2006	—	`conf`	Visual Information Retrieval: Minerva Video Benchmark. SPPRA Wei Ren, Paul Weal, Maneesha Singh, Peng Wang
2005	J	`jnl`	A dynamic classifier selection and combination approach to image region labelling. Signal Process. Image Commun. Peng Wang, Maneesha Singh
2005	—	`conf`	Image Enhancement Optimization for Hand-Luggage Screening at Airports. ICAPR (2) Maneesha Singh, Peng Wang
2005	—	`conf`	Multiple Particle Tracking for Live Cell Imaging with Green Fluorescent Protein (GFP) Tagged Videos. ICAPR (2) Peng Wang, Harish Bhaskar, Jeremy Tavare, Gavin Welsh
2005	—	`conf`	Parameter Optimization for Image Segmentation Algorithms: A Systematic Approach. ICAPR (2) Maneesha Singh, Peng Wang, Derek Partridge
2005	—	`ed.`	Pattern Recognition and Data Mining, Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part I ICAPR (1) Peng Wang, Maneesha Singh, Chidanand Apté, Petra Perner
2005	—	`ed.`	Pattern Recognition and Image Analysis, Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II ICAPR (2) Peng Wang, Maneesha Singh, Chidanand Apté, Petra Perner
2004	—	`conf`	A Comparison of Image Enhancement Techniques for Explosive Detection. ICPR (4) Maneesha Singh, Peng Wang
2004	C	`conf`	A Comparison of Texture Teatures for the Classification of Rock Images. IDEAL Maneesha Singh, Akbar Javadi, Peng Wang
2004	C	`conf`	A Mixture of Experts Image Enhancement Scheme for CCTV Images. IDEAL Maneesha Singh, Peng Wang, Matthew Porter
2004	J	`jnl`	A knowledge-based framework for image enhancement in aviation security. IEEE Trans. Syst. Man Cybern. Part B Maneesha Singh, Peng Wang, Derek Partridge
2004	J	`jnl`	On the optimality of image processing pipeline. Pattern Recognit. Peng Wang, Maneesha Singh
2003	J	`jnl`	Explosives detection systems (EDS) for aviation security. Signal Process. Peng Wang, Maneesha Singh
2003	J	`jnl`	Texture Algorithms: Performance Variability Across Data Sets. Cybern. Syst. Maneesha Singh, Peng Wang
2002	—	`conf`	Colour Image Texture Analysis: Dependence on Colour Spaces. ICPR (1) Maneesha Singh, Markos Markou, Peng Wang
2002	—	`conf`	Feature Selection for Face Recognition Based on Data Partitioning. ICPR (1) Peng Wang, Maneesha Singh, Markos Markou
2002	—	`conf`	Spatial Texture Analysis: A Comparative Study. ICPR (1) Maneesha Singh, Peng Wang