Hai Ci

653 total citations
12 papers, 309 citations indexed

About

Hai Ci is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction. According to data from OpenAlex, Hai Ci has authored 12 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 3 papers in Human-Computer Interaction. Recurrent topics in Hai Ci's work include Human Pose and Action Recognition (5 papers), Hand Gesture Recognition Systems (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Hai Ci is often cited by papers focused on Human Pose and Action Recognition (5 papers), Hand Gesture Recognition Systems (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Hai Ci collaborates with scholars based in China, Singapore and United States. Hai Ci's co-authors include Yizhou Wang, Xiaoxuan Ma, Chunyu Wang, Jiajun Su, Hao Dong, Xiaoxuan Ma, Fangwei Zhong, Wentao Zhu, Feng Gao and Qi Tian and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Nanomedicine and Pteridines.

In The Last Decade

Hai Ci

10 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hai Ci China	6	284	102	79	73	50	12	309
Xiaoxuan Ma China	7	269 0.9×	87 0.9×	77 1.0×	79 1.1×	47 0.9×	14	300
Spyridon Leonardos United States	6	243 0.9×	39 0.4×	43 0.5×	33 0.5×	31 0.6×	11	286
Fu Xiong Singapore	6	222 0.8×	53 0.5×	93 1.2×	40 0.5×	62 1.2×	6	252
Jiaxiang Tang China	7	242 0.9×	84 0.8×	34 0.4×	80 1.1×	24 0.5×	12	275
Runyang Feng China	8	215 0.8×	57 0.6×	45 0.6×	76 1.0×	14 0.3×	12	262
Vasu Parameswaran United States	9	394 1.4×	118 1.2×	73 0.9×	129 1.8×	28 0.6×	11	410
Isinsu Katircioglu Switzerland	3	197 0.7×	37 0.4×	63 0.8×	22 0.3×	37 0.7×	5	210
Marco Volino United Kingdom	5	212 0.7×	26 0.3×	36 0.5×	14 0.2×	60 1.2×	22	261
Wending Yan Singapore	5	212 0.7×	42 0.4×	42 0.5×	23 0.3×	14 0.3×	11	237

Countries citing papers authored by Hai Ci

Since Specialization

Citations

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

Fields of papers citing papers by Hai Ci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Ci

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Yang, Pei–Ming, et al.. (2025). IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation. 3019–3028.

2.

Chen, Yao, et al.. (2024). ProcessPainter: Learning to draw from sequence data. 1–10. 2 indexed citations

3.

Ci, Hai, et al.. (2024). Injectable Polyhydroxyalkanoate-Nano-Clay Microcarriers Loaded with r-BMSCs Enhance the Repair of Cranial Defects in Rats. International Journal of Nanomedicine. Volume 19. 13839–13855. 1 indexed citations

4.

Ma, Xiaoxuan, et al.. (2023). Human Motion Generation: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 2430–2449. 27 indexed citations

5.

Ci, Hai, Wentao Zhu, Xiaoxuan Ma, et al.. (2023). GFPose: Learning 3D Human Pose Prior with Gradient Fields. 4800–4810. 33 indexed citations

6.

Hu, Ran, et al.. (2021). Multiobjective optimization for hybrid AC/DC distribution network structure considering reliability. 2021 IEEE Sustainable Power and Energy Conference (iSPEC). 3034–3041. 5 indexed citations

7.

Hu, Ran, et al.. (2021). Average-Value-Based Integrated Induction Machine-Rotor Side Converter System Model in EMTP-type Programs. 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). 1809–1812.

8.

Ma, Xiaoxuan, Jiajun Su, Chunyu Wang, Hai Ci, & Yizhou Wang. (2021). Context Modeling in 3D Human Pose Estimation: A Unified Perspective. 6234–6243. 43 indexed citations

9.

Ci, Hai, Xiaoxuan Ma, Chunyu Wang, & Yizhou Wang. (2020). Locally Connected Network for Monocular 3D Human Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(3). 1429–1442. 42 indexed citations

10.

Ci, Hai, Chunyu Wang, Xiaoxuan Ma, & Yizhou Wang. (2019). Optimizing Network Structure for 3D Human Pose Estimation. 2262–2271. 154 indexed citations

11.

Ci, Hai, et al.. (2019). High Quality Ecological Practice: Analysis of Core Characteristics and Discussion on Implementation Path. Urban Planning International. 34(171). 16–29. 1 indexed citations

12.

Xiong, Wei, Jun Ouyang, Hai Ci, et al.. (2018). The predictive value of serum neopterin for multiple organ dysfunction syndrome in severe burn patients. Pteridines. 29(1). 196–200. 1 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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