Jinghua Zhang

Jinghua Zhang

Northeastern University, China

H-index: 12

Asia-China

About Jinghua Zhang

Jinghua Zhang, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Northeastern University, China, specializes in the field of Computer vision, Pattern recognition, Deep learning, Few-shot learning, Continuous learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep learning for liver cancer histopathology image analysis: A comprehensive survey

A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition

Deep learning for iris recognition: a review

ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos

Deep learning for finger vein recognition: A brief survey of recent trend

Deep Learning-based Histopathological Image Classification of Colorectal Cancer: A Brief Survey of Recent Trends

Few-shot Class-incremental Learning: A Survey

Jinghua Zhang Information

University

Position

___

Citations(all)

669

Citations(since 2020)

666

Cited By

29

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Northeastern University, China

Google Scholar

View Google Scholar Profile

Jinghua Zhang Skills & Research Interests

Computer vision

Pattern recognition

Deep learning

Few-shot learning

Continuous learning

Top articles of Jinghua Zhang

Title

Journal

Author(s)

Publication Date

Deep learning for liver cancer histopathology image analysis: A comprehensive survey

Haoyang Jiang

Yimin Yin

Jinghua Zhang

Wanxia Deng

Chen Li

2024/7/1

A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition

arXiv preprint arXiv:2304.11959

Jinghua Zhang

Li Liu

Kai Gao

Dewen Hu

2023/4/24

Deep learning for iris recognition: a review

Yimin Yin

Siliang He

Renye Zhang

Hongli Chang

Xu Han

...

2023/3/15

ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection

Hechen Yang

Jinzhu Yang

Tao Jiang

Xin Zhao

Jinghua Zhang

...

2023/12/15

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos

Ao Chen

Jinghua Zhang

Md Rahaman

Hongzan Sun

Tieyong Zeng

...

2023/1/18

Deep learning for finger vein recognition: A brief survey of recent trend

arXiv: 2207.02148

Renye Zhang

Yimin Yin

Wanxia Deng

Chen Li

Jinghua Zhang

2022/9/10

Deep Learning-based Histopathological Image Classification of Colorectal Cancer: A Brief Survey of Recent Trends

Yule Wang

Yimin Yin

Renye Zhang

Jinghua Zhang

2023/11/25

Few-shot Class-incremental Learning: A Survey

arXiv preprint arXiv:2308.06764

Jinghua Zhang

Li Liu

Olli Silven

Matti Pietikäinen

Dewen Hu

2023/8/13

A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements

Archives of Computational Methods in Engineering

Jiawei Zhang

Chen Li(corresponding author)

Md Rahaman

Yudong Yao

Pingli Ma

...

2023/1/4

Artificial Neural Networks for Finger Vein Recognition: A Survey

Yimin Yin

Renye Zhang

Pengfei Liu

Wanxia Deng

Siliang He

...

2022/9/4

An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images

Applied Sciences

Jiawei Zhang

Xin Zhao

Tao Jiang

Md Mamunur Rahaman

Yudong Yao

...

2022/7/21

Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural …

Jinghua Zhang

Chen Li

Yimin Yin

Jiawei Zhang

Marcin Grzegorzek

2023/2

SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection

Applied Sciences

Jiawei Zhang

Pingli Ma

Tao Jiang

Xin Zhao

Wenjun Tan

...

2022/10/1

A new pairwise deep learning feature for environmental microorganism image analysis

Environmental Science and Pollution Research

Frank Kulwa

Chen Li(corresponding author)

Jinghua Zhang

Kimiaki Shirahama

Sergey Kosov

...

2022/7/16

Comparative study for patch-level and pixel-level segmentation of deep learning methods on transparent images of environmental microorganisms: from convolutional neural …

Applied Sciences

Hechen Yang

Xin Zhao

Tao Jiang

Jinghua Zhang

Peng Zhao

...

2022/9/12

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches

Jiawei Zhang

Chen Li

Md Mamunur Rahaman

Yudong Yao

Pingli Ma

...

2022/4/1

A state-of-the-art review for Gastric Histopathology image Analysis approaches and future development

Shiliang Ai

Chen Li

Xiaoyan Li

Tao Jiang

Marcin Grzegorzek

...

2021/6/26

EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks

Plos one

Zihan Li

Chen Li

Yudong Yao

Jinghua Zhang

Md Mamunur Rahaman

...

2021/5/12

A cervical histopathology image clustering approach using graph based features

SN Computer Science

Chen Li

Zhijie Hu

Hao Chen

Shiliang Ai

Jinghua Zhang

...

2021/4

LCU-Net: A Novel Low-cost U-Net for Environmental Microorganism Image Segmentation

Pattern Recognition

Jinghua Zhang

Chen Li

Sergey Kosov

Marcin Grzegorzek

Kimiaki Shirahama

...

2021/7/1

See List of Professors in Jinghua Zhang University(Northeastern University, China)

Co-Authors

H-index: 102
Matti Pietikäinen

Matti Pietikäinen

Oulun yliopisto

H-index: 31
Chen Li

Chen Li

Northeastern University, China

H-index: 30
Marcin Grzegorzek

Marcin Grzegorzek

Universität zu Lübeck

H-index: 28
Olli Silven

Olli Silven

Oulun yliopisto

H-index: 20
Md Mamunur Rahaman

Md Mamunur Rahaman

Northeastern University, China

H-index: 7
Jiawei Zhang

Jiawei Zhang

Northeastern University, China

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