Cheng Ji

696 total citations · 1 hit paper
18 papers, 370 citations indexed

About

Cheng Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Cheng Ji has authored 18 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Cheng Ji's work include Advanced Graph Neural Networks (9 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Cheng Ji is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Cheng Ji collaborates with scholars based in China, United States and Australia. Cheng Ji's co-authors include Jianxin Li, Qian Li, Philip S. Yu, Hao Peng, Jian Peng, Yu He, Yangqiu Song, Jia Wu, Pengtao Xie and Qiben Yan and has published in prestigious journals such as Pattern Recognition, Neural Networks and Applied Soft Computing.

In The Last Decade

Cheng Ji

16 papers receiving 363 citations

Hit Papers

A comprehensive survey on pretrained foundation models: a... 2024 2026 2025 2024 50 100 150
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. A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT
    2024 178 citations Ce Zhou, Qian Li et al. International Journal of Machine Learning and Cybernetics profile →

Peers

Cheng Ji
Yun-Cheng Wang United States
Yuanfei Dai China
Rui Wen China
Yushun Dong United States
Marcel R. Ackermann Germany
Zhongmin Yan China
Yiyang Gu China
Shangshang Yang China
Javad Azimi United States
Yun-Cheng Wang United States
Cheng Ji
Citations per year, relative to Cheng Ji Cheng Ji (= 1×) peers Yun-Cheng Wang

Countries citing papers authored by Cheng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ji

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

All Works

18 of 18 papers shown
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Li, Qian, et al.. (2024). Multi-Modal Inductive Framework for Text-Video Retrieval. 2389–2398. 1 indexed citations
5.
Zhou, Ce, Qian Li, Chen Li, et al.. (2024). A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT. International Journal of Machine Learning and Cybernetics. 16(12). 9851–9915. 178 indexed citations breakdown →
6.
Sun, Qingyun, et al.. (2024). Dynamic Graph Information Bottleneck. 469–480. 6 indexed citations
7.
Li, Qian, Jianxin Li, Jia Wu, et al.. (2024). Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks. 179. 106479–106479. 11 indexed citations
8.
Li, Qian, et al.. (2023). Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. 2499–2508. 21 indexed citations
9.
Ji, Cheng, Jianxin Li, Hao Peng, et al.. (2023). Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. 922–930. 4 indexed citations
10.
Li, Qian, Jianxin Li, Cheng Ji, et al.. (2023). Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Transactions on the Web. 17(3). 1–26. 7 indexed citations
11.
Li, Jianxin, Jia Wu, Qingyun Sun, et al.. (2023). Adaptive curvature exploration geometric graph neural network. Knowledge and Information Systems. 65(5). 2281–2304. 3 indexed citations
12.
Ji, Cheng, et al.. (2023). Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognition. 143. 109766–109766. 10 indexed citations
13.
Ji, Cheng, et al.. (2022). MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2617–2622. 4 indexed citations
14.
Sun, Qingyun, Jianxin Li, Hao Peng, et al.. (2022). Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 1848–1857. 20 indexed citations
15.
Li, Jianxin, et al.. (2022). Curvature Graph Generative Adversarial Networks. Proceedings of the ACM Web Conference 2022. 1528–1537. 10 indexed citations
16.
Ji, Cheng, Ping Jiang, Qi Zhou, Jiexiang Hu, & Leshi Shu. (2021). A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems. Applied Soft Computing. 106. 107276–107276. 18 indexed citations
17.
Li, Jianxin, Cheng Ji, Hao Peng, et al.. (2021). RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. Journal of Artificial Intelligence Research. 71. 237–263. 1 indexed citations
18.
He, Yu, Yangqiu Song, Jianxin Li, et al.. (2019). HeteSpaceyWalk. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 639–648. 75 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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