Chang Kong

703 total citations
23 papers, 554 citations indexed

About

Chang Kong is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chang Kong has authored 23 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chang Kong's work include Machine Learning in Materials Science (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Electrocatalysts for Energy Conversion (3 papers). Chang Kong is often cited by papers focused on Machine Learning in Materials Science (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Electrocatalysts for Energy Conversion (3 papers). Chang Kong collaborates with scholars based in United States, China and Japan. Chang Kong's co-authors include Han Kyu Lee, Tae-Hee Lee, Do Y. Kim, Yong‐Gun Shul, Krishna Rajan, Krishna Rajan, Scott Broderick, Shuichi Iwata, Yashdeep Phanse and Michael J. Wannemuehler and has published in prestigious journals such as Advanced Functional Materials, Journal of Power Sources and Scientific Reports.

In The Last Decade

Chang Kong

20 papers receiving 540 citations

Peers

Countries citing papers authored by Chang Kong

Since Specialization

Citations

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

Fields of papers citing papers by Chang Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Kong

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Learning Deep Contrastive Network for Facial Age Estimation 2022 ·2022 International Joint Conference on Neural Networks (IJCNN) ·Chang Kong, (unknown), Guoliang Chen	0
2	Deep Multi-Input Multi-Stream Ordinal Model for age estimation: Based on spatial attention learning 2022 ·Future Generation Computer Systems ·Chang Kong, Haitao Wang, (unknown), (unknown), Guoliang Chen	4
3	Fisheye Image Calibration and Super-Resolution Method Based On Deep Learning 2021 ·(unknown), (unknown), Xiaohui Lin, (unknown), Chang Kong	2
4	A comparison study: the impact of age and gender distribution on age estimation 2021 ·Chang Kong, (unknown), Guoliang Chen	1
5	PARALLEL HARDWARE ARCHITECTURE OF THE 3D FDTD ALGORITHM WITH CONVOLUTIONAL PERFECTLY MATCHED LAYER BOUNDARY CONDITION 2020 ·Progress In Electromagnetics Research C ·Chang Kong, Tao Su	1
6	A fast hybrid methodology based on machine learning, quantum methods, and experimental measurements for evaluating material properties 2017 ·Modelling and Simulation in Materials Science and Engineering ·Chang Kong, (unknown), (unknown), Sadasivan Shankar, Krishna Rajan	4
7	A systems approach to designing next generation vaccines: combining α-galactose modified antigens with nanoparticle platforms 2014 ·Scientific Reports ·Yashdeep Phanse, Brenda Carrillo‐Conde, Amanda E. Ramer‐Tait, Scott Broderick, Chang Kong, Krishna Rajan, Ramon Flick, Robert B. Mandell, Balaji Narasimhan, Michael J. Wannemuehler	25
8	Mining for elastic constants of intermetallics from the charge density landscape 2014 ·Physica B Condensed Matter ·Chang Kong, Scott Broderick, Travis E. Jones, (unknown), Mark E. Eberhart, Krishna Rajan	8
9	Nitrogen functionalized carbon black: A support for Pt nanoparticle catalysts with narrow size dispersion and high surface area 2014 ·Carbon ·(unknown), (unknown), Chang Kong, Cynthia D. Cooper, Daniel E. Morse, Steven K. Buratto	19
10	Bio‐Inspired Synthesis of High‐Performance Nanocomposite Catalysts for Hydrogen Oxidation 2013 ·Advanced Functional Materials ·Chang Kong, Hongli Zhang, Ferenc Somodi, Daniel E. Morse	4
11	Informatics-Based Uncertainty Quantification in the Design of Inorganic Scintillators 2013 ·Materials and Manufacturing Processes ·Subhas Ganguly, Chang Kong, Scott Broderick, Krishna Rajan	11
12	Quantitatively Measuring the Memory Locality Leakage on NUMA Systems Based on Instruction-Based-Sampling 2012 ·(unknown), (unknown), Chang Kong, (unknown)	0
13	Data-Driven Model for Estimation of Friction Coefficient Via Informatics Methods 2012 ·Tribology Letters ·Eric W. Bucholz, Chang Kong, (unknown), W. Gregory Sawyer, Simon R. Phillpot, Susan B. Sinnott, Krishna Rajan	25
14	Mapping the ‘materials gene’ for binary intermetallic compounds—a visualization schema for crystallographic databases 2012 ·Chang Kong, P. Villars, Shuichi Iwata, Krishna Rajan	8
15	Information-Theoretic Approach for the Discovery of Design Rules for Crystal Chemistry 2012 ·Journal of Chemical Information and Modeling ·Chang Kong, Wei Luo, S. Arapan, P. Villars, Shuichi Iwata, Rajeev Ahuja, Krishna Rajan	33
16	Rational Design of Pathogen-Mimicking Amphiphilic Materials as Nanoadjuvants 2011 ·Scientific Reports ·Bret D. Ulery, Latrisha K. Petersen, Yashdeep Phanse, Chang Kong, Scott Broderick, Devender Kumar, Amanda E. Ramer‐Tait, Brenda Carrillo‐Conde, Krishna Rajan, Michael J. Wannemuehler, Bryan H. Bellaire, Dennis W. Metzger, Balaji Narasimhan	64
17	Performance Evaluation of OpenMP Constructs and Kernel Benchmarks on a Loongson-3A Quad-Core SMP System 2011 ·(unknown), Chang Kong, (unknown), Gang Liu	3
18	Identification of Biologically Significant Genes from Combinatorial Microarray Data 2011 ·ACS Combinatorial Science ·Chang Kong, (unknown), F. Chris Minion, Krishna Rajan	16
19	Identification and Optimization of AB₂Phases Using Principal Component Analysis, Evolutionary Neural Nets, and Multiobjective Genetic Algorithms 2009 ·Materials and Manufacturing Processes ·(unknown), Frank Pettersson, Arunima K. Singh, Chang Kong, Henrik Saxén, Krishna Rajan, Shuichi Iwata, Nirupam Chakraborti	23
20	Influence of pore-size distribution of diffusion layer on mass-transport problems of proton exchange membrane fuel cells 2002 ·Journal of Power Sources ·Chang Kong, Do Y. Kim, Han Kyu Lee, Yong‐Gun Shul, Tae-Hee Lee	290

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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