Jianchang Mao

15.1k total citations · 2 hit papers
43 papers, 9.9k citations indexed

About

Jianchang Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jianchang Mao has authored 43 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Jianchang Mao's work include Handwritten Text Recognition Techniques (10 papers), Neural Networks and Applications (10 papers) and Image Retrieval and Classification Techniques (8 papers). Jianchang Mao is often cited by papers focused on Handwritten Text Recognition Techniques (10 papers), Neural Networks and Applications (10 papers) and Image Retrieval and Classification Techniques (8 papers). Jianchang Mao collaborates with scholars based in United States, China and Netherlands. Jianchang Mao's co-authors include Anil K. Jain, Khalid Mohiuddin, Abhishek Jain, Ruofei Zhang, Yun Fu, Zhichen Xu, Martin A. Kraaijveld, Rong Jin, Ying Cui and Rajat Mukherjee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Computer.

In The Last Decade

Jianchang Mao

41 papers receiving 9.1k citations

Hit Papers

Statistical pattern recog... 1996 2026 2006 2016 2000 1996 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Statistical pattern recognition: a review
    2000 4.5k citations Anil K. Jain, Jianchang Mao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. Artificial neural networks: a tutorial
    1996 3.3k citations Jianchang Mao, Khalid Mohiuddin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianchang Mao United States 19 3.7k 3.2k 1.1k 809 779 43 9.9k
Xavier Glorot Canada 7 4.7k 1.3× 3.9k 1.2× 987 0.9× 756 0.9× 506 0.6× 7 10.3k
Tin Kam Ho United States 23 4.6k 1.2× 2.4k 0.8× 1.0k 0.9× 1.1k 1.4× 1.0k 1.3× 78 11.2k
Yee‐Whye Teh Singapore 7 4.7k 1.3× 4.0k 1.3× 1.6k 1.4× 1.1k 1.4× 422 0.5× 7 11.5k
P. Simard United States 25 3.5k 0.9× 2.4k 0.8× 893 0.8× 1.1k 1.3× 389 0.5× 56 9.4k
Ah Chung Tsoi Australia 31 5.1k 1.4× 2.8k 0.9× 1.2k 1.0× 1.1k 1.3× 913 1.2× 184 11.0k
Mark E. Shields United States 3 4.3k 1.1× 3.1k 1.0× 814 0.7× 659 0.8× 494 0.6× 6 10.7k
Zhen Wang China 59 3.2k 0.9× 3.4k 1.1× 745 0.7× 765 0.9× 663 0.9× 557 17.5k
Michel Verleysen Belgium 44 4.1k 1.1× 2.5k 0.8× 1.0k 0.9× 649 0.8× 431 0.6× 287 8.7k
E. Osuna United States 5 2.7k 0.7× 2.9k 0.9× 720 0.6× 536 0.7× 442 0.6× 5 7.6k
Vinod Nair India 14 3.2k 0.8× 3.9k 1.2× 962 0.8× 754 0.9× 321 0.4× 23 9.8k

Countries citing papers authored by Jianchang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jianchang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianchang Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jianchang Mao. A scholar is included among the top collaborators of Jianchang Mao 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 Jianchang Mao. Jianchang Mao 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.
Mao, Jianchang, Hanle Zheng, Hao Guo, et al.. (2025). Adaptive dendritic plasticity in brain-inspired dynamic neural networks for enhanced multi-timescale feature extraction. Neural Networks. 194. 108191–108191.
2.
Azimi, Javad, Ruofei Zhang, Yang Zhou, et al.. (2012). The impact of visual appearance on user response in online display advertising. 457–458. 16 indexed citations
3.
Mao, Jianchang. (2009). Machine Learning in Online Advertising.. International Conference on Enterprise Information Systems. 27–4. 3 indexed citations
4.
Jin, Rong, et al.. (2009). Learning to Rank by Optimizing NDCG Measure. Neural Information Processing Systems. 22. 1883–1891. 97 indexed citations
5.
Liu, Jinhui, et al.. (2005). Intelligent Taxonomy Management Tools for Enterprise Content. 809–811. 4 indexed citations
6.
Mukherjee, Rajat & Jianchang Mao. (2004). Enterprise Search: Tough Stuff. Queue. 2(2). 36–46. 48 indexed citations
7.
Mao, Jianchang, et al.. (2003). Multiresolution rotation invariant simultaneous auto regressive model for texture analysis. 845–847. 1 indexed citations
8.
Mao, Jianchang & Anil K. Jain. (2002). A self-organizing network for hyperellipsoidal clustering (HEC). 5. 2967–2972. 1 indexed citations
9.
Mao, Jianchang, Khalid Mohiuddin, & Anil K. Jain. (2002). Parsimonious network design and feature selection through node pruning. 2. 622–624. 26 indexed citations
10.
Mao, Jianchang. (2002). A case study on bagging, boosting and basic ensembles of neural networks for OCR. 3. 1828–1833. 55 indexed citations
11.
Mahadevan, Uma, Jianchang Mao, Rajat Mukherjee, et al.. (2001). Navigating large-scale semi-structured data in business portals. Very Large Data Bases. 663–666. 9 indexed citations
12.
Jain, Anil K., et al.. (2000). Statistical pattern recognition: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22(1). 4–37. 4473 indexed citations breakdown →
13.
Mao, Jianchang, et al.. (1999). An efficient algorithm for matching a lexicon with a segmentation graph. 543–546. 11 indexed citations
14.
Mao, Jianchang. (1998). <title>Information fusion by combining multiple features and classifiers</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3545. 542–549. 2 indexed citations
15.
Mao, Jianchang & Khalid Mohiuddin. (1997). Improving OCR performance using character degradation models and boosting algorithm. Pattern Recognition Letters. 18(11-13). 1415–1419. 18 indexed citations
16.
Mao, Jianchang & Anil K. Jain. (1996). A self-organizing network for hyperellipsoidal clustering (HEC). IEEE Transactions on Neural Networks. 7(1). 16–29. 178 indexed citations
17.
Mao, Jianchang, et al.. (1996). A model-based form processing sub-system. 691–695 vol.3. 10 indexed citations
18.
Lorie, Raymond A., et al.. (1996). Automated forms-processing software and services. IBM Journal of Research and Development. 40(2). 211–230. 16 indexed citations
19.
Mao, Jianchang & Anil K. Jain. (1995). Artificial neural networks for feature extraction and multivariate data projection. IEEE Transactions on Neural Networks. 6(2). 296–317. 439 indexed citations
20.
Kraaijveld, Martin A., Jianchang Mao, & Anil K. Jain. (1995). A nonlinear projection method based on Kohonen's topology preserving maps. IEEE Transactions on Neural Networks. 6(3). 548–559. 162 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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